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Freichel R, Kroon E, Kuhns L, Filbey F, Veer IM, Wiers R, Cousijn J. Cannabis Use Disorder Symptoms in Weekly Cannabis Users: A Network Comparison Between Daily Cigarette Users and Nondaily Cigarette Users. Cannabis Cannabinoid Res 2024; 9:e847-e858. [PMID: 37074121 PMCID: PMC11295661 DOI: 10.1089/can.2022.0239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
Background: Concurrent use (co-use) of cannabis and tobacco is common and associated with worse clinical outcomes compared with cannabis use only. The mechanisms and interactions of cannabis use disorder (CUD) symptoms underlying co-use remain poorly understood. Methods: We examined differences in the symptom presence and symptom network configurations between weekly cannabis users who use tobacco daily (co-users, n=789) or non- or nondaily (nondaily co-users, n=428). Results: First, we identified a range of symptoms (craving, failed reduce or quit attempts, neglected responsibilities, and negative social effects) that are most central to the highly interconnected CUD symptom network. Risky cannabis use was mostly associated with negative social and health effects, and independent of other CUD symptoms. Craving symptoms act as a bridge between different CUD and withdrawal symptoms. Among co-users, (1) craving is more strongly associated with negative psychosocial effects, (2) feelings of depression and negative health effects are more central to the network, and (3) the negative health effects are more strongly associated with failed attempts to reduce or quit attempts compared with nondaily co-users. Discussion: Our results go beyond existing findings focused on the mere increase in CUD symptom presence, and speak to the potential synergistic effects of co-use on dependence and withdrawal symptoms. We outline clinical implications with respect to targeting specific CUD symptoms in co-users, and point to future research to disentangle tobacco and cannabis craving symptoms.
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Affiliation(s)
- René Freichel
- ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Emese Kroon
- ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Lauren Kuhns
- ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Francesca Filbey
- School of Behavioral and Brain Sciences, Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | - Ilya M. Veer
- ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Reinout Wiers
- ADAPT-Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Janna Cousijn
- Neuroscience of Addiction (NofA) Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
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Cuomo RE, Mackey TK, Purushothaman V. Tobacco/nicotine dependence as a risk factor for substance use disorders and related mental health conditions among cancer patients. Psychooncology 2023; 32:1395-1400. [PMID: 37409875 DOI: 10.1002/pon.6190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/26/2023] [Accepted: 06/27/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Cancer patients often face multiple comorbidities and are at risk for various mental health conditions and substance use disorders. Tobacco/nicotine dependence (TND) is a known risk factor for poor health outcomes and has been associated with psychiatric disorders including substance use disorder. However, the specific relationship between TND and the risk of substance use disorder and mental health conditions among cancer patients remains underexplored. This study aimed to assess the association between TND and the risk of comorbid conditions among cancer patients. METHODS Data were obtained from a database of electronic health records for patients from the University of California health system. The odds for every condition among cancer patients with TND were calculated and compared with those for cancer patients without TND. ORs were adjusted for gender, ethnicity, and race. RESULTS Three thousand seven hundred and ninety-one cancer patients with TND had 252,619 total conditions, and 51,711 cancer patients without TND had 2,310,880 conditions. After adjusting for confounders, the condition for which TND most exacerbated risk was psychoactive substance-induced organic anxiety disorder (OR = 16.3, p < 0.001). This appeared consistent with the second, third, and fifth most-exacerbated conditions: stimulant use disorder (OR = 12.8, p < 0.001), cocaine induced mental disorder (OR = 11.0, p < 0.001), and cocaine use disorder (OR = 11.0, p < 0.001). Different conditions exacerbated by TND include acute alcoholic intoxication (OR = 11.4, p < 0.001), opioid use disorder (OR = 7.6, p < 0.001), schizoaffective disorder (OR = 7.4, p < 0.001), and cannabis use disorder (OR = 6.3, p < 0.001). CONCLUSIONS Our findings reveal a strong association between TND and an increased risk of substance use disorder and mental health conditions among cancer patients. Specifically, cancer patients with TND were at an elevated risk for psychoactive substance-induced organic anxiety disorder, stimulant use disorder, and cocaine-related disorders. Additionally, TND was associated with an increased risk of acute alcoholic intoxication, opioid use disorder, schizoaffective disorder, and cannabis use disorder. These findings underscore the need for comprehensive screening and interventions to address TND and comorbid conditions among cancer patients.
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Affiliation(s)
- Raphael E Cuomo
- University of California, San Diego, School of Medicine, San Diego, California, USA
- Global Health Policy and Data Institute, San Diego, California, USA
| | - Tim K Mackey
- Global Health Policy and Data Institute, San Diego, California, USA
- San Diego Supercomputer Center, San Diego, California, USA
- Department of Anthropology, University of California, San Diego, San Diego, California, USA
- S-3 Research, San Diego, California, USA
| | - Vidya Purushothaman
- Global Health Policy and Data Institute, San Diego, California, USA
- San Diego Supercomputer Center, San Diego, California, USA
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Maurer JM, Edwards BG, Harenski CL, Kiehl KA. Psychopathic Traits Are Associated with Lifetime History of Nicotine Dependence among Incarcerated Offenders. Subst Use Misuse 2023; 58:444-453. [PMID: 36683568 PMCID: PMC9970823 DOI: 10.1080/10826084.2023.2167495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Background: Individuals scoring high on psychopathy engage in problematic patterns of alcohol and illicit substance use. However, our understanding regarding the association between psychopathy and nicotine use remains limited, which is surprising, given the detrimental consequences associated with such use. Previous studies have observed significant correlations between psychopathic traits (particularly Factor 2 scores assessing lifestyle/behavioral and antisocial traits from the Psychopathy Checklist - Revised [PCL-R]) and increased frequency of nicotine use. However, no study has investigated whether individuals scoring high on psychopathy are characterized by problematic patterns of nicotine use, including lifetime history of nicotine dependence.Objectives: The current study aimed to address this gap, specifically investigating whether PCL-R scores were associated with higher total scores from the Fagerström Test for Nicotine Dependence (FTND).Results: Across both incarcerated men and women, PCL-R total, Factor 2, and Facet 3 (measuring lifestyle/behavioral psychopathic traits) scores were positively correlated with FTND total scores. Additionally, across both samples, hierarchical linear regression analyses revealed these same psychopathy scores remained associated with higher FTND total scores when controlling for additional covariate measures (e.g., age, severity of alcohol and illicit substance use, race, ethnicity, and IQ).Conclusions/Importance: Though associated with small effect sizes, our results support the notion that lifestyle/behavioral psychopathic traits represent a general risk factor for engaging in risky behavior associated with deleterious health consequences, including nicotine use. Our results hold implications for the development of treatment approaches, designed to reduce problematic levels of substance use among individuals scoring high on psychopathy.
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Affiliation(s)
| | - Bethany G. Edwards
- The Mind Research Network, Albuquerque, NM, USA
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | | | - Kent A. Kiehl
- The Mind Research Network, Albuquerque, NM, USA
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
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Westmaas JL, Strollo SE, Newton CC, Carter BD, Diver WR, Flanders WD, Stevens VL, Patel AV, Alcaraz KI, Thrul J, Jacobs EJ. Association between Smoking Cannabis and Quitting Cigarettes in a Large American Cancer Society Cohort. Cancer Epidemiol Biomarkers Prev 2021; 30:1956-1964. [PMID: 34348959 PMCID: PMC9398124 DOI: 10.1158/1055-9965.epi-20-1810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 04/19/2021] [Accepted: 07/30/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Cannabis use is increasing, including among smokers, an at-risk population for cancer. Research is equivocal on whether using cannabis inhibits quitting cigarettes. The current longitudinal study investigated associations between smoking cannabis and subsequently quitting cigarettes. METHODS Participants were 4,535 adult cigarette smokers from a cohort enrolled in the American Cancer Society's Cancer Prevention Study-3 in 2009-2013. Cigarette quitting was assessed on a follow-up survey in 2015-2017, an average of 3.1 years later. Rates of quitting cigarettes at follow-up were examined by retrospectively assessed baseline cannabis smoking status (never, former, recent), and by frequency of cannabis smoking among recent cannabis smokers (low: ≤3 days/month; medium: 4-19 days/month; high: ≥20 days/month). Logistic regression models adjusted for sociodemographic factors, smoking- and health-related behaviors, and time between baseline and follow-up. RESULTS Adjusted cigarette quitting rates at follow-up did not differ significantly by baseline cannabis smoking status [never 36.2%, 95% confidence interval (CI), 34.5-37.8; former 34.1%, CI, 31.4-37.0; recent 33.6%, CI, 30.1-37.3], nor by frequency of cannabis smoking (low 31.4%, CI, 25.6-37.3; moderate 36.7%, CI, 30.7-42.3; high 34.4%, CI, 28.3-40.2) among recent baseline cannabis smokers. In cross-sectional analyses conducted at follow-up, the proportion of cigarette smokers intending to quit smoking cigarettes in the next 30 days did not differ by cannabis smoking status (P = 0.83). CONCLUSIONS Results do not support the hypothesis that cannabis smoking inhibits quitting cigarette smoking among adults. IMPACT Future longitudinal research should include follow-ups of >1 year, and assess effects of intensity/frequency of cannabis use and motivation to quit on smoking cessation.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Johannes Thrul
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Aonso-Diego G, González-Roz A, Krotter A, García-Pérez A, Secades-Villa R. Contingency management for smoking cessation among individuals with substance use disorders: In-treatment and post-treatment effects. Addict Behav 2021; 119:106920. [PMID: 33798921 DOI: 10.1016/j.addbeh.2021.106920] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/18/2021] [Accepted: 03/18/2021] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Smokers with substance use disorders (SUDs) show elevated tobacco prevalence, and smoking abstinence rates are considerably low. This randomized controlled trial sought to compare the effect of a cognitive behavioral treatment (CBT) that includes an episodic future thinking (EFT) component with the same treatment protocol plus contingency management (CM). This study aims to examine the effect of CM on smoking outcomes and in-treatment behaviors (i.e., retention, session attendance and adherence to nicotine use reduction guidelines), and to analyze whether these in-treatment variables predicted days of continuous abstinence at end-of-treatment. METHOD A total of 54 treatment-seeking participants (75.9% males, M = 46.19 years old) were allocated to CBT + EFT (n = 30) or CBT + EFT + CM (n = 24). Intervention consisted of eight weeks of group-based sessions. Tobacco abstinence was verified biochemically by testing levels of carbon monoxide (≤4ppm) and urine cotinine (≤80 ng/ml). RESULTS CM intervention increased 24-hour tobacco abstinence (50% vs. 20%, χ2(1) = 5.4; p = .021) and days of continuous abstinence (M = 5.92 ± 7.67 vs. 5.53 ± 12.42; t(52) = -0.132; p = 0.89) at end-of-treatment in comparison with CBT + EFT intervention. Although not statistically significant, CBT + EFT + CM enhanced in-treatment behaviors, in terms of retention (83.3% vs. 70%; χ2(1) = 0.255; p = .208), sessions attended (12.29 ± 3.22 vs. 10.93 ± 3.26; t(52) = -1.527; p = .133) and adherence to weekly nicotine use reduction targets (41.07% ± 31.96 vs. 35% ±2 6.28; t(52) = -0.766; p = .447). A higher percentage of samples meeting reduction guidelines (β = 0.609; p<.001) predicted days of continuous abstinence at end-of-treatment. CONCLUSION Combining CM with CBT + EFT improves short-term quitting rates. Findings suggest the need to incorporate strategies for improving adherence to nicotine reduction guidelines.
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Le K, Chen TA, Martinez Leal I, Correa-Fernández V, Obasi EM, Kyburz B, Williams T, Casey K, Brown HA, O’Connor DP, Reitzel LR. Organizational-Level Moderators Impacting Tobacco-Related Knowledge Change after Tobacco Education Training in Substance Use Treatment Centers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:7597. [PMID: 34300052 PMCID: PMC8305177 DOI: 10.3390/ijerph18147597] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 02/02/2023]
Abstract
Tobacco use is disproportionately elevated among patients with substance use disorders relative to the general U.S. population. Tobacco interventions are lacking within substance use treatment centers (SUTCs) due to lack of knowledge and training. This study examined knowledge gain and the organizational factors that might moderate knowledge gains following tobacco education training provided to employees (N = 580) within 15 SUTCs that were participating in a tobacco-free workplace program. The number of total annual patient visits, unique annual patient visits, number of full-time employees, and organizational readiness for implementing change (ORIC) as assessed prior to implementation were examined as potential moderators. Results demonstrated significant knowledge gain (p < 0.001) after training overall; individually, 13 SUTCs had significant knowledge gain (p's < 0.014). SUTCs with fewer total annual patient visits and fewer full-time employees showed greater knowledge gains. The ORIC total score and all but one of its subscales (Resource Availability) moderated knowledge gain. SUTCs with greater initial Change Efficacy (p = 0.029), Valence (p = 0.027), and Commitment (p < 0.001) had greater knowledge gain than SUTCs with lower scores on these constructs; SUTCs with greater Task Knowledge (p < 0.001) regarding requirements for change exhibited less knowledge gain. Understanding the organizational-level factors impacting training effectiveness can inform efforts in organizational change and tobacco control program implementation.
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Affiliation(s)
- Kathy Le
- Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA;
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Tzuan A. Chen
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Isabel Martinez Leal
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Virmarie Correa-Fernández
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Ezemenari M. Obasi
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Bryce Kyburz
- Integral Care, 1430 Collier Street, Austin, TX 78704, USA; (B.K.); (T.W.); (K.C.)
| | - Teresa Williams
- Integral Care, 1430 Collier Street, Austin, TX 78704, USA; (B.K.); (T.W.); (K.C.)
| | - Kathleen Casey
- Integral Care, 1430 Collier Street, Austin, TX 78704, USA; (B.K.); (T.W.); (K.C.)
| | - Haleem A. Brown
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
| | - Daniel P. O’Connor
- Department of Health & Human Performance, The University of Houston, 3875 Holman Street, Garrison Gymnasium, Room 104, Houston, TX 77204, USA;
| | - Lorraine R. Reitzel
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204-5029, USA; (T.A.C.); (I.M.L.); (V.C.-F.); (E.M.O.); (H.A.B.)
- HEALTH Research Institute, The University of Houston, 4849 Calhoun Rd., Houston, TX 77204, USA
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Albelo FD, Baker M, Zhang T, Schneider MB, Jauregui JJ, Nadarajah V, Meredith SJ, Packer JD, Henn RF. Impact of pre-operative recreational marijuana use on outcomes two years after orthopaedic surgery. INTERNATIONAL ORTHOPAEDICS 2021; 45:2483-2490. [PMID: 34052856 DOI: 10.1007/s00264-021-05069-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 05/07/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study was to investigate the relationship between recreational marijuana use and patient-reported outcomes two years after orthopaedic surgery. We hypothesized that pre-operative recreational marijuana use would be associated with less pain, better function, and better mental health measures two years after orthopaedic surgery. METHODS Patients were retrospectively analyzed from a prospective orthopaedic registry at a single urban institution. A total of 1710 patients completed the pre-operative assessment and 1103 patients (64.5%) completed the two-year follow-up questionnaires. The cohort was then divided into two groups based on reported preoperative recreational marijuana usage, and statistical analysis was performed to determine if marijuana use was associated with two-year outcomes. Multivariable analysis was used to control for confounding variables. RESULTS Marijuana use was reported by 47 (4.3%) patients. Significantly worse scores for two-year PROMIS Anxiety (53.2 vs. 49.2, p = 0.005), PROMIS Depression (51.1 vs. 46.5, p = 0.001), Met Expectations (63.1 vs. 74.4, p = 0.024), Surgical Satisfaction Questionnaire-8 (71.7 vs. 80.4, p = 0.005), and Numeric Satisfaction Scale (75.6 vs. 83.1, p = 0.041) were associated with marijuana use. Marijuana users also had less improvement of Numeric Pain Scores at the operative site (- 1.8 vs. - 2.7, p = 0.037) and greater decrease in Marx activity scores for lower extremities (- 12.3 vs. - 3.9, p = 0.024). Marijuana use was not an independent predictor of any outcome measure in the multivariable analysis. CONCLUSION Marijuana use was associated with worse mental health scores, lower activity level, less pain relief, and worse satisfaction two years after orthopaedic surgery. However, after controlling for confounding variables, marijuana use was not predictive of any two-year outcome measure. STUDY DESIGN Cross-sectional study.
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Affiliation(s)
- Fernando D Albelo
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Mitchell Baker
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Tina Zhang
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Matheus B Schneider
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Julio J Jauregui
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Vidushan Nadarajah
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA.,Department of Orthopaedic Surgery and Rehabilitation Medicine, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Sean J Meredith
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Jonathan D Packer
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - R Frank Henn
- Department of Orthopaedics, University of Maryland School of Medicine, 2200 Kernan Drive, Baltimore, MD, 21207, USA.
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Snell M, Harless D, Shin S, Cunningham P, Barnes A. A longitudinal assessment of nicotine dependence, mental health, and attempts to quit Smoking: Evidence from waves 1-4 of the Population Assessment of Tobacco and Health (PATH) study. Addict Behav 2021; 115:106787. [PMID: 33383566 PMCID: PMC7837319 DOI: 10.1016/j.addbeh.2020.106787] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/10/2020] [Accepted: 12/10/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Adult smokers with symptoms of any mental illness (AMI) are highly dependent on nicotine and may face additional difficulty quitting smoking. While there is evidence that adult smokers with AMI have high dependence, there is insufficient evidence regarding the unique role that AMI may play in moderating the relationship between dependence and cessation outcomes over time. METHODS 7290 current established adult smokers at Wave 1 (2013-2014) of the PATH Study also participated in data collection in Waves 2-4 (2014-2018). Linear probability models with individual-level random effects were fit to the data, modeling associations between AMI, nicotine dependence, and the 1) likelihood of achieving cessation during the study period, 2) making a cessation attempt within the previous 12 months, and 3) log of past 30-day total consumption of cigarettes. RESULTS Adults who experienced both AMI symptoms and high dependence were 4.7 percentage points (PP) less likely to achieve cessation at any point during the study period (p < 0.01) and smoked more cigarettes per month (β = 0.214, p < 0.05) than adults with AMI who were not highly dependent, despite being as likely to attempt to quit. Adults with AMI who were not highly dependent were 4.6 PP more likely to report a quit attempt and 1.6 PP more likely to achieve cessation than those with neither AMI nor high dependence. CONCLUSIONS Adults with AMI are particularly affected by the burden of tobacco use, in part because of the likely interaction between nicotine dependence and AMI. Tobacco control efforts that focus on this interplay may provide an opportunity to better target interventions for this vulnerable population.
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Affiliation(s)
- Morgan Snell
- Department of Health Behavior and Policy, Virginia Commonwealth University, 830 East Main St, Richmond 23219, VA, United States.
| | - David Harless
- Department of Economics, Virginia Commonwealth University, Richmond, VA, United States
| | - Sunny Shin
- School of Social Work, Virginia Commonwealth University, Richmond, VA, United States
| | - Peter Cunningham
- Department of Health Behavior and Policy, Virginia Commonwealth University, 830 East Main St, Richmond 23219, VA, United States
| | - Andrew Barnes
- Department of Health Behavior and Policy, Virginia Commonwealth University, 830 East Main St, Richmond 23219, VA, United States
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Kranzler HR, Washio Y, Zindel LR, Lynch KG, Hand D, Tyndale RF, Oncken C, Schnoll R. Pregnant Smokers Receiving Opioid Agonist Therapy Have an Elevated Nicotine Metabolite Ratio: A Replication Study. Nicotine Tob Res 2021; 22:1923-1927. [PMID: 32303761 PMCID: PMC7542647 DOI: 10.1093/ntr/ntaa066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/15/2020] [Indexed: 12/02/2022]
Abstract
Introduction Pregnant women exposed chronically to opioids smoked more cigarettes per day (CPD) and had a higher nicotine metabolite ratio (NMR), 3-hydroxycotinine/cotinine, a biomarker of nicotine metabolism and clearance, than those not receiving opioids. We examined CPD and NMR in a group of pregnant smokers, a quarter of whom were receiving opioid agonist therapy (OAT). Aims and Methods Pregnant smokers recruited to participate in a placebo-controlled trial of bupropion for smoking cessation provided a blood sample for measurement of NMR. Results Half (52.4%) of the 124 women with NMR data were African American. OAT-treated women (n = 34, 27.4%; 27 receiving methadone and 7 buprenorphine) were more likely to be white (79% vs. 30%, p < .001) and to have a lower mean PHQ-9 total score (2.91 [SD = 2.83] vs. 4.83 [SD = 3.82], p = .007). OAT-treated women reported smoking more CPD (9.50 [SD = 5.26] vs. 7.20 [SD = 3.65], p = .005) and had higher NMR (0.78 [SD = 0.36] vs. 0.56 [SD = 0.25], p = .001) than the non-OAT-treated group. In a linear regression analysis adjusting for race, depression severity, and CPD, NMR was greater in the OAT group (p = .025), among whom the daily methadone-equivalent dosage correlated with NMR (Spearman’s ρ = 0.49, p = .003). Conclusions Consistent with the findings of Oncken et al. (2019), we found that OAT smokers smoked more and had higher NMR than non-OAT smokers. As higher NMR is associated with a reduced likelihood of smoking cessation, the effects on NMR of both pregnancy and OAT could contribute to a lower smoking cessation rate in pregnant smokers receiving chronic opioid therapy. Implications We replicated the finding that the NMR is significantly greater among pregnant smokers receiving OAT than those not receiving this treatment for opioid use disorder. Furthermore, we found that the dosage of the OAT was significantly associated with the NMR level. These findings may contribute to a poorer response to smoking cessation treatment in pregnant women treated with OAT, particularly those receiving high-dose therapy, and raise the question of whether novel approaches are needed to treat smoking in this subgroup of pregnant smokers.
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Affiliation(s)
- Henry R Kranzler
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.,Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA
| | - Yukiko Washio
- Substance Use, Gender and Applied Research, RTI International, Research Triangle Park, NC
| | - Leah R Zindel
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Kevin G Lynch
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Dennis Hand
- Departments of Obstetrics & Gynecology and Psychiatry & Human Behavior, Thomas Jefferson University, Philadelphia, PA
| | - Rachel F Tyndale
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Departments of Pharmacology & Toxicology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Cheryl Oncken
- Departments of Medicine and Obstetrics and Gynecology, University of Connecticut School of Medicine, Farmington, CT
| | - Robert Schnoll
- Center for Interdisciplinary Research on Nicotine Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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Chang S, Jeyagurunathan A, Lau JH, Shafie S, Samari E, Cetty L, Mok YM, Verma S, Subramaniam M. Problematic Drug Use Among Outpatients With Schizophrenia and Related Psychoses. Front Psychiatry 2021; 12:762988. [PMID: 34744843 PMCID: PMC8569375 DOI: 10.3389/fpsyt.2021.762988] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 09/22/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Problematic drug use is common among psychiatric patients and is linked with poorer course and outcomes of illness. The aim of this study is to assess the prevalence of problematic drug use, and to explore its sociodemographic correlates and associations with health behaviors and outcomes among outpatients with schizophrenia and related psychoses in Singapore. Methods: Data from 397 individuals who were aged 21-65 years and were seeking treatment for schizophrenia and related psychoses in the outpatient clinics of a tertiary psychiatric hospital were analyzed. The Drug Abuse Screening Test (DAST-10) was used to assess problematic drug use. Information on sociodemographics, smoking status, alcohol use, symptoms severity and quality of life were collected. Multivariable logistic regressions were conducted to explore correlates and associations of problematic drug use. Results: The prevalence of problematic drug use was 5.8% (n = 23) in the sample, and 10.6% (n = 42) of the participants reported having problematic drug use and/or problematic alcohol use. More males than females reported having problematic drug use (p = 0.021), and also problematic drug and/or alcohol use (p = 0.004). Significant associations were observed between problematic drug use and smokers with nicotine dependence, and with physical health domain of quality of life. Individuals with greater symptom severity were approximately twice as likely to have problematic drug use and/or alcohol use. Conclusion: While the prevalence of problematic drug use in this sample population is relatively lower compared to other countries, there is a considerable number who might be at risk. Routine screening and close monitoring of drug use is recommended as part of psychiatric assessment, particularly among males and patients with nicotine dependence.
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Affiliation(s)
- Sherilyn Chang
- Research Division, Institute of Mental Health, Singapore, Singapore
| | | | - Jue Hua Lau
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Saleha Shafie
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Ellaisha Samari
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Laxman Cetty
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Yee Ming Mok
- Department of Mood and Anxiety, Institute of Mental Health, Singapore, Singapore
| | - Swapna Verma
- Department of Psychosis, Institute of Mental Health, Singapore, Singapore
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11
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Mayorga NA, Garey L, Nizio P, Buckner JD, Zvolensky MJ. The Effects of Cannabis Use: A Test Among Dual Electronic and Combustible Cigarette Users. Am J Addict 2020; 29:287-294. [DOI: 10.1111/ajad.13021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 02/10/2020] [Accepted: 02/16/2020] [Indexed: 12/29/2022] Open
Affiliation(s)
| | - Lorra Garey
- Department of PsychologyUniversity of HoustonHouston Texas
| | - Pamella Nizio
- Department of PsychologyUniversity of HoustonHouston Texas
| | - Julia D. Buckner
- Department of PsychologyLouisiana State UniversityBaton Rouge Louisiana
| | - Michael J. Zvolensky
- Department of PsychologyUniversity of HoustonHouston Texas
- Department of Behavioral ScienceThe University of Texas MD Anderson Cancer CenterHouston Texas
- HEALTH InstituteUniversity of HoustonHouston Texas
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12
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Romberg AR, Miller Lo EJ, Barton AA, Xiao H, Vallone DM, Hair EC. Cigarette smoking, prescription opioid use and misuse among young adults: An exploratory analysis. Prev Med 2019; 129:105845. [PMID: 31518628 DOI: 10.1016/j.ypmed.2019.105845] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 08/06/2019] [Accepted: 09/09/2019] [Indexed: 11/20/2022]
Abstract
Young adults have the highest prevalence of misuse of prescription opioids. In 2016, 7.1% of 18- to 25-year-olds reported misuse, meaning use other than as prescribed. While smoking is known to be associated with opioid use, to our knowledge no study has examined the relationships between smoking, prescribed use of opioids, and opioid misuse in young adults at the population level. Online survey data were collected in spring 2018 from a nationally representative sample of 18-25-year-olds from the Truth Longitudinal Cohort (N = 10,502). Respondents self-reported cigarette smoking, and both lifetime and recent (past 6-month) prescribed use and misuse of opioids. Generalized ordered logistic regression modeling was used to determine associations between cigarette smoking and recent prescribed use and misuse while controlling for demographic characteristics, other substance use, sensation seeking, and mental health status. Overall, 61.0% of respondents reported lifetime prescribed use of opioids and 16% reported recent prescribed use. Lifetime misuse was reported by 19.4%, with 7.8% reporting recent misuse. Together, the models revealed a graded relationship, with current smokers having higher odds of both prescribed use and misuse, never smokers having lowest odds of use or misuse, and ever smokers, those who had smoked but not in the past 30 days, falling between current and never smokers. Findings indicate a clear association between smoking and use of opioids even after accounting for a strong association between prescribed use and misuse among young adults.
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Affiliation(s)
- Alexa R Romberg
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
| | - Erin J Miller Lo
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
| | - Alexis A Barton
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
| | - Haijun Xiao
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
| | - Donna M Vallone
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
| | - Elizabeth C Hair
- Schroeder Institute at Truth Initiative, 900 G St. NW, Washington, DC, USA.
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13
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Quisenberry AJ, Pittman J, Goodwin RD, Bickel WK, D'Urso G, Sheffer CE. Smoking relapse risk is increased among individuals in recovery. Drug Alcohol Depend 2019; 202:93-103. [PMID: 31325822 PMCID: PMC6685745 DOI: 10.1016/j.drugalcdep.2019.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND The prevalence of cigarette smoking among individuals with a history of substance use disorders (SUDs) remains up to four times higher than those without a history of SUDs. More than half of individuals who attain sustained remission from SUDs will die of tobacco-related diseases. The aim of this secondary data analysis was to compare the risk for smoking relapse among smokers with no history of SUDs and smokers in recovery from SUDs after multi-component, cognitive-behavioral treatment for tobacco dependence. METHODS Participants were randomized to receive 6 sessions of multicomponent cognitive-behavioral therapy (adapted for lower socioeconomic groups or standard), 8 weeks of nicotine patches, and were followed for 6 months in the parent randomized clinical trial. Participants passed a urine drug test prior to enrollment. Recovery was assessed at baseline by self-report to the question, "Do consider yourself in recovery from drugs or alcohol?" Relapse was defined as any smoking for 7 consecutive days. RESULTS Participants were primarily lower SES and identified as racial and/or ethnic minorities. Cox proportional hazards models revealed that the risk of smoking relapse following tobacco dependence treatment was greater among smokers in long-term (HR: 1.44; 95% CI: 1.01, 2.05) and short-term (HR: 1.98; 95% CI: 1.30, 3.03) recovery than for smokers with no history of SUDs. CONCLUSIONS Our findings indicate that smokers in recovery from SUDs have 1.5-2 times the risk of relapse than smokers with no history of SUDs. More effective relapse prevention interventions are needed for this vulnerable, high-risk group of smokers.
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Affiliation(s)
- Amanda J Quisenberry
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14203, United States.
| | - Jami Pittman
- College of Liberal Arts & Sciences, Wayne State University, 4841 Cass Avenue, Detroit, MI, 48201, United States
| | - Renee D Goodwin
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, United States; Institute of Implementation in Population Health, The City University of New York, 55 West 125th Street, New York, New York, 10027, United States
| | - Warren K Bickel
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA, 24016, United States
| | - Giordano D'Urso
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Naples, Italy
| | - Christine E Sheffer
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14203, United States
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14
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Patient and Physician Perspectives on Treating Tobacco Dependence in Hospitalized Smokers With Substance Use Disorders: A Mixed Methods Study. J Addict Med 2019; 13:338-345. [DOI: 10.1097/adm.0000000000000503] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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15
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Moeller SJ, Fink DS, Gbedemah M, Hasin DS, Galea S, Zvolensky MJ, Goodwin RD. Trends in Illicit Drug Use Among Smokers and Nonsmokers in the United States, 2002-2014. J Clin Psychiatry 2019; 79:17m11718. [PMID: 29894597 PMCID: PMC6139671 DOI: 10.4088/jcp.17m11718] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 11/27/2017] [Indexed: 10/14/2022]
Abstract
OBJECTIVE Cigarette smoking has declined in the United States. Still, identifying prevalent and modifiable barriers to quitting can help inform the next steps for tobacco control. Illicit drug use, which may be increasingly common in the United States, could be one such factor. We investigated the relationship between past-month illicit drug use and cigarette smoking status and estimated trends in the prevalence of past-month illicit drug use by cigarette smoking status from 2002 to 2014 in the United States. METHODS The 2002-2014 National Survey on Drug Use and Health was used to obtain nationally representative data on past-month illicit drug use. RESULTS From 2002 to 2014, past-month illicit drug use (for all drugs considered) was nearly 5 times more common among current smokers than among never smokers (adjusted odds ratio = 4.79) and nearly twice as prevalent in former smokers as in never smokers (adjusted odds ratio = 1.99). Illicit drug use increased linearly over time from 2002 to 2014 in the entire general population (ie, across and within current smokers, former smokers, and never smokers). This increasing trend in drug use was most rapid among former smokers (relative to current smokers and never smokers) and was largely, but not entirely, driven by increases in cannabis use. CONCLUSIONS Illicit drug use is most prevalent among current cigarette smokers. Yet, the rate of increase in illicit drug use prevalence was most rapid among former smokers. Because former smokers outnumber current smokers in the general population, it may be important to monitor former smokers into the future for potential negative drug-related outcomes.
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Affiliation(s)
- Scott J Moeller
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, New York, USA
| | - David S Fink
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Misato Gbedemah
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, USA
| | - Deborah S Hasin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
- New York State Psychiatric Institute, New York, New York, USA
| | - Sandro Galea
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Michael J Zvolensky
- Department of Psychology, University of Houston, Houston, Texas, USA
- Department of Behavioral Sciences, University of Texas, and MD Anderson Cancer Center, Houston, Texas, USA
| | - Renee D Goodwin
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, 55 West 125th St, New York, NY 10027.
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, USA
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16
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Kathuria H, Seibert RG, Cobb V, Herbst N, Weinstein ZM, Gowarty M, Jhunjhunwala R, Helm ED, Wiener RS. Perceived barriers to quitting cigarettes among hospitalized smokers with substance use disorders: A mixed methods study. Addict Behav 2019; 95:41-48. [PMID: 30836208 DOI: 10.1016/j.addbeh.2019.02.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 02/16/2019] [Accepted: 02/17/2019] [Indexed: 12/25/2022]
Abstract
AIMS Smoking cessation may promote long-term recovery in patients with substance use disorders (SUD). Yet smoking rates remain alarmingly high in this population. Using a sequential explanatory mixed methods approach, we examined smoking rates among hospitalized patients with SUD at a large safety-net hospital, and then characterized factors associated with smoking behaviors both quantitatively and qualitatively. METHOD We abstracted data from all hospital admissions (7/2016-6/2017) and determined demographics, substance use type, and other characteristics associated with cigarette use among those with SUD. We then conducted semi-structured qualitative interviews with 20 hospitalized SUD smokers. We analyzed transcripts to characterize factors that affect patients' smoking habits, focusing on the constructs of the Health Belief Model. RESULTS The prevalence of cigarette smoking among hospitalized smokers with SUD was three times higher than those without SUD. Qualitative analyses showed that patients perceived that smoking cigarettes was a less serious concern than other substances. Some patients feared that quitting cigarettes could negatively impact their recovery and perceived that clinicians do not prioritize treating tobacco dependence. Almost all patients with heroin use disorder described how cigarette use potentiated their heroin high. Many SUD patients are turning to vaping and e-cigarettes to quit smoking. CONCLUSION Hospitalized patients with SUD have disproportionately high smoking rates and perceive multiple barriers to quitting cigarettes. When designing and implementing smoking cessation interventions for hospitalized patients with SUD, policymakers should understand and take into account how patients with SUD perceive smoking-related health risks and how that influences their decision to quit smoking.
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Affiliation(s)
- Hasmeena Kathuria
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States of America.
| | - Ryan G Seibert
- Division of General Internal Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - Vinson Cobb
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States of America
| | - Nicole Herbst
- Division of General Internal Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - Zoe M Weinstein
- Section of General Internal Medicine, Clinical Addiction Research and Education (CARE) Unit, Boston University School of Medicine/Boston Medical Center, Boston, MA, United States of America
| | - Minda Gowarty
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States of America
| | - Reha Jhunjhunwala
- Program of Clinical Investigation, Boston University School of Medicine, Boston, MA, United States of America
| | - Eric D Helm
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States of America
| | - Renda Soylemez Wiener
- The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States of America; Center for Healthcare Organization & Implementation Research, ENRM VA Hospital, Bedford, MA, United States of America
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17
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Association between tobacco smoking and opioid use: A meta-analysis. Addict Behav 2019; 92:225-235. [PMID: 30685521 DOI: 10.1016/j.addbeh.2018.11.043] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 11/24/2018] [Accepted: 11/27/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND Tobacco smoking has been shown to be a major risk factor for opioid use and opioid use disorders in several observational studies; however, the results are inconsistent. Thus, this systematic review and meta-analysis of observational studies was conducted to investigate the association between smoking behavior and opioid use and opioid use disorders. METHODS A systematic literature search of relevant keywords was done in Medline, Embase, Scopus, Web of Science, and Google Scholar up to October 2017. The reference lists of retrieved articles were also examined for inclusion. While random effects meta-analysis was used, pooled odds ratio (OR) and 95% confidence intervals were calculated using Der-Simonian and Laird method, taking into account conceptual heterogeneity. Subgroup analyses were performed using participants and studies' characteristics to assess the sources of heterogeneity. RESULTS Ten eligible observational studies (6 cohorts and 4 population-based cross sectional studies), with 175,063 participants, were identified. The pooled OR of opioid use disorders was 8.23 (95% CI: 3.07-22.09) for current smokers compared to nonsmokers; pooled OR for opioid use was 2.51 (95% CI: 1.91-3.28). Opioid use or opioid use disorders were positively associated with earlier age at onset of smoking (pooled OR = 1.66; 95% CI: 1.28-2.16). CONCLUSIONS The results of this meta-analysis confirmed that tobacco smoking is associated with opioid use and opioid use disorders development. This conclusion has an important public health message for areas with high smoking prevalence and high opioid use and opioid use disorders incidence.
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18
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Bergeria CL, Heil SH, Davis DR, Streck JM, Sigmon SC, Bunn JY, Tidey JW, Arger CA, Reed DD, Gallagher T, Hughes JR, Gaalema DE, Stitzer ML, Higgins ST. Evaluating the utility of the modified cigarette evaluation questionnaire and cigarette purchase task for predicting acute relative reinforcing efficacy of cigarettes varying in nicotine content. Drug Alcohol Depend 2019; 197:56-64. [PMID: 30776572 PMCID: PMC6440849 DOI: 10.1016/j.drugalcdep.2019.01.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 01/03/2019] [Accepted: 01/05/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND Nicotine is the addictive component in cigarettes that maintain cigarette smoking that subsequently leads to morbidity and mortality. Methods for assessing the abuse liability of cigarettes are essential to inform new tobacco product standards. This secondary analysis evaluated the utility of one subjective effects measure, the modified Cigarette Evaluation Questionnaire (mCEQ), and one behavioral economic task, the Cigarette Purchase Task (CPT), for predicting acute relative reinforcing efficacy measured by concurrent choice Self-Administration (SA). METHODS Smokers (N = 169) belonging to one of three vulnerable populations participated in a multi-site, double-blind study evaluating research cigarettes with varying levels of nicotine (0.4, 2.4, 5.2, 15.8 mg/g). Participants sampled cigarettes and completed the mCEQ and CPT. In subsequent sessions, cigarette preference was assessed using a concurrent choice SA procedure. Mixed-model repeated measures analysis of variance tests were used to evaluate the utility of the mCEQ subscales and CPT indices for predicting preference for the higher compared to lower nicotine content cigarettes. In addition, stepwise regressions were used to determine which subscales and indices independently predicted concurrent choice SA. RESULTS Greater increases on the Satisfaction and Enjoyment of Respiratory Tract Sensations mCEQ subscales independently predicted higher dose preference in concurrent choice testing. Elasticity was the only CPT index that predicted choice. However, its predictive utility differed by dose among opioid-maintained individuals. CONCLUSION The mCEQ and CPT predict behavioral measures of relative reinforcing efficacy as assessed in concurrent choice SA, with the mCEQ Satisfaction and Enjoyment of Respiratory Tract Sensations subscales being the strongest independent predictors.
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Affiliation(s)
- Cecilia L Bergeria
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sarah H Heil
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA.
| | - Danielle R Davis
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Joanna M Streck
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Stacey C Sigmon
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Janice Y Bunn
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Jennifer W Tidey
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI, USA
| | - Chris A Arger
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Derek D Reed
- Department of Applied Behavioral Science, Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, KS, USA
| | - Thomas Gallagher
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - John R Hughes
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Diann E Gaalema
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Maxine L Stitzer
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephen T Higgins
- Departments of Psychiatry and Psychological Science, Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
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Weinberger AH, Pacek LR, Wall MM, Zvolensky MJ, Copeland J, Galea S, Nahvi S, Moeller SJ, Hasin DS, Goodwin RD. Trends in cannabis use disorder by cigarette smoking status in the United States, 2002-2016. Drug Alcohol Depend 2018; 191:45-51. [PMID: 30077055 PMCID: PMC6859449 DOI: 10.1016/j.drugalcdep.2018.06.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/10/2018] [Accepted: 06/12/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Cannabis use is on the rise in the United States (US) and is disproportionately common among cigarette smokers. Cannabis use disorder (CUD) occurs among a small subset of cannabis users and may impact cigarette use. The objective of this study was to estimate trends in the prevalence of CUD among daily, non-daily, former, and never cigarette smokers from 2002 to 2016. METHODS Data were drawn from cross-sectional, nationally representative samples of individuals ages 12 and older in the US that were collected annually. The prevalence of past 12-month CUD was estimated each year from 2002 to 2016 among daily, non-daily, former, and never cigarette smokers (total analytic N = 837,326). RESULTS Overall, the prevalence of CUD decreased from 2002 to 2016. Yet, trends differed by cigarette smoking status. Adjusting for demographics, the prevalence of CUD increased significantly among non-daily smokers (aOR = 1.02; 95% CI = 1.01-1.03) from 2002 to 2016 and did not change among daily, former, or never smokers. CUD was significantly more common among non-daily (4.32%) and daily cigarette smokers (2.92%) compared with former (0.99%) and never smokers (1.11%) in 2016. Approximately one in five (18.11%-22.87%) youth ages 12-17 who smoke cigarettes met criteria for CUD in 2016, compared with approximately 2% of non-smoking youth. CONCLUSIONS Despite downward trends in CUD observed at the general population level, the prevalence of CUD significantly increased among non-daily cigarette smokers from 2002 to 2016. In the US, CUD remains significantly higher among cigarette smokers relative to non-cigarette smokers.
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Affiliation(s)
- Andrea H. Weinberger
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA,Department of Epidemiology & Population Health, Yeshiva University Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lauren R. Pacek
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705, USA
| | - Melanie M. Wall
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Michael J. Zvolensky
- Department of Psychology, University of Houston, Houston, TX, USA,Department of Behavioral Sciences, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jan Copeland
- Department of Medicine, University of New South Wales, Sydney, New South Wales 2052, Australia.
| | - Sandro Galea
- School of Public Health, Boston University, Boston, MA, USA.
| | - Shadi Nahvi
- Departments of Medicine and Psychiatry & Behavioral Sciences, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA.
| | - Scott J. Moeller
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Deborah S. Hasin
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Renee D. Goodwin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA,Institute for Implementation Science and Population Health, The City University of New York, New York, NY, USA,Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY, USA,Corresponding author at: Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, The City University of New York, 55 West 125th St, New York, NY, 10027, USA. (R.D. Goodwin)
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20
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Medina SH, Nadarajah V, Jauregui JJ, Smuda MP, Foster M, Meredith SJ, Packer JD, Henn RF. Orthopaedic surgery patients who use recreational marijuana have less pre-operative pain. INTERNATIONAL ORTHOPAEDICS 2018; 43:283-292. [PMID: 30135987 DOI: 10.1007/s00264-018-4101-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 08/08/2018] [Indexed: 01/26/2023]
Abstract
AIMS To determine the baseline clinical characteristics of recreational marijuana users undergoing outpatient orthopaedic surgery. We hypothesized that patients who report marijuana use would have worse pain, function, and general health status. PATIENTS AND METHODS Nine-hundred and thirty-seven patients undergoing outpatient orthopaedic surgery were asked to fill out patient-reported outcome (PRO) tools. These PROs included the Patient-Reported Outcomes Measurement Information Systems (PROMIS) computer adaptive tests and legacy PROs unique to each patients' surgical site. RESULTS Forty patients (4.2%) reported marijuana use. Marijuana use was associated with younger age (33 vs. 43 years, p < 0.001), having a history of fewer operations (1.8 vs. 3.2, p < 0.05), single marital status (68 vs. 38%, p < 0.01), and having a history of smoking cigarettes (63 vs. 31%, p < 0.0001). Marijuana use was found to be significantly associated with greater Marx lower extremity activity rating scale scores (8.5 points vs. 6.1 points, p < 0.05) and decreased pain intensity in the operative site (3.7 points vs. 5.0 points, p < 0.05). Multivariable analysis found that marijuana use was an independent factor associated with less pain intensity in the operative site (p < 0.05). CONCLUSION Our studies support other national studies that report increased marijuana use among younger patients and those who smoke cigarettes. The results do not support our hypothesis, as marijuana use was associated with less pain and better lower extremity activity rating scale scores when compared to non-users. Further research is warranted to analyze the effects of marijuana use on orthopaedic surgery patients. STUDY DESIGN Cross-sectional study.
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Affiliation(s)
- Shaun H Medina
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Vidushan Nadarajah
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA.,Department of Orthopaedic Surgery and Rehabilitation Medicine, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Julio J Jauregui
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Michael P Smuda
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Michael Foster
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Sean J Meredith
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - Jonathan D Packer
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA
| | - R Frank Henn
- Department of Orthopaedics, University of Maryland School of Medicine, University of Maryland Rehabilitation and Orthopaedic Institute, 2200 Kernan Drive, Baltimore, MD, 21207, USA.
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Associations between opioid and nicotine dependence in nationally representative samples of United States adult daily smokers. Drug Alcohol Depend 2018; 186:167-170. [PMID: 29579724 PMCID: PMC5911224 DOI: 10.1016/j.drugalcdep.2018.01.024] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/24/2018] [Accepted: 01/28/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Smoking prevalence among adults with opioid dependence far exceeds that of the general population, and cessation outcomes in this group are one-fourth that of smokers without a substance use disorder. Understanding the reasons underlying these poor outcomes is critical for developing more effective smoking interventions in this group. Elevated baseline severity of nicotine dependence is associated with lower rates of smoking cessation over time. We examined whether nicotine dependence severity among smokers may vary as a function of opioid dependence status using nationally representative samples of adult smokers. METHODS Data were derived from multiple years of the National Survey on Drug Use and Health (NSDUH, 2006-2014; n = 58,971). Nicotine dependence was measured by the Nicotine Dependence Syndrome Scale (NDSS) and the first item (i.e., time to first cigarette) of the Fagerström Test for Nicotine Dependence (FTND). Opioid dependence was assessed using the Diagnostic and Statistical Manual of Mental Disorders criteria. RESULTS Opioid-dependent smokers exhibited greater severity of nicotine dependence compared to non-opioid dependent smokers, as evidenced by higher mean NDSS scores (p < 0.05). On both NDSS and FTND measures of nicotine dependence, opioid-dependent smokers were also approximately twice as likely to be dependent on nicotine than those not dependent on opioids (p's < 0.05). CONCLUSIONS Opioid dependence is associated with increased severity and prevalence of nicotine dependence among smokers. Considering the disproportionate societal and economic burdens of smoking and smoking-related consequences in this vulnerable population, continued investigations are needed to better understand opioid-dependent individuals' poor cessation outcomes.
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Goodwin RD, Pacek LR, Copeland J, Moeller SJ, Dierker L, Weinberger A, Gbedemah M, Zvolensky MJ, Wall MM, Hasin DS. Trends in Daily Cannabis Use Among Cigarette Smokers: United States, 2002-2014. Am J Public Health 2017; 108:137-142. [PMID: 29161058 DOI: 10.2105/ajph.2017.304050] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To estimate changes in the prevalence of daily cannabis use among current, former, and never cigarette smokers from 2002 to 2014 in the United States. METHODS The National Survey on Drug Use and Health is a nationally representative cross-sectional study conducted annually among persons aged 12 years and older in the United States. RESULTS Daily cannabis use occurs nearly exclusively among nondaily and daily cigarette smokers compared with former and never smokers (8.03%, 9.01%, 2.79%, 1.05%, respectively). Daily cannabis use increased over the past decade among both nondaily (8.03% [2014] vs 2.85% [2002]; linear trend P < .001) and daily smokers (9.01% [2014]; 4.92% [2002]; linear trend P < .001). Daily cannabis use increased most rapidly among former cigarette smokers (2.79% [2014] vs 0.98% [2002]; linear trend P < .001). CONCLUSIONS Daily cannabis use occurs predominantly among cigarette smokers in the United States. Daily cannabis use increased among current, former, and never smokers over the past decade, with particularly rapid increases among youth and female cigarette smokers. Future research is needed to monitor the observed increase in daily cannabis use, especially among youths and adults who smoke cigarettes.
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Affiliation(s)
- Renee D Goodwin
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Lauren R Pacek
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Jan Copeland
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Scott J Moeller
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Lisa Dierker
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Andrea Weinberger
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Misato Gbedemah
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Michael J Zvolensky
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Melanie M Wall
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
| | - Deborah S Hasin
- Renee D. Goodwin is with the Institute for Implementation Science in Population Health, Graduate School of Public Health and Health Policy, The City University of New York, New York, NY. Lauren R. Pacek is with the Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC. Jan Copeland is with the University of New South Wales Medicine, Sydney, New South Wales, Australia. Scott J. Moeller is with the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY. Lisa Dierker is with the Department of Psychology, Wesleyan University, Middletown, CT. Andrea Weinberger is with the Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. Michael J. Zvolensky is with the Department of Psychology, University of Houston, Houston, TX. Melanie M. Wall is with the Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY. Deborah S. Hasin is with the Department of Epidemiology, Mailman School of Public Health
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Farris SG, Aston ER, Zvolensky MJ, Abrantes AM, Metrik J. Psychopathology and tobacco demand. Drug Alcohol Depend 2017; 177:59-66. [PMID: 28575783 PMCID: PMC5534370 DOI: 10.1016/j.drugalcdep.2017.03.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/09/2017] [Accepted: 03/10/2017] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Behavioral economic measurement of the relative value of tobacco (Cigarette Purchase Task; CPT) is used to examine individual differences in motivation for tobacco under certain contexts. Smokers with psychopathology, relative to those without, may demonstrate stronger demand for tobacco following a period of smoking deprivation, which could account for disparate rates of smoking and cessation among this subgroup. METHOD Participants (n=111) were community-recruited adult daily smokers who completed the CPT after a deprivation period of approximately 60min. Presence of psychopathology was assessed via clinical interview; 40.5% (n=45) of the sample met criteria for past-year psychological diagnosis. Specifically, 31.5% (n=35) had an emotional disorder (anxiety/depressive disorder), 17.1% (n=19) had a substance use disorder, and 19.1% of the sample had more than one disorder. RESULTS Smokers with any psychopathology showed significantly higher intensity (demand at unrestricted cost; $0) and Omax (peak expenditure for a drug) relative to smokers with no psychopathology. Intensity was significantly higher among smokers with an emotional disorder compared to those without. Smokers with a substance use disorder showed significantly higher intensity and Omax, and lower elasticity, reflecting greater insensitivity to price increases. Having≥2 disorders was associated with higher intensity relative to having 1 or no disorders. DISCUSSION Findings suggest that presence of psychopathology may be associated with greater and more persistent motivation to smoke. Future work is needed to explore the mechanism linking psychopathology to tobacco demand.
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Affiliation(s)
- Samantha G. Farris
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, 345 Blackstone Blvd., Providence, RI 02906 USA,The Miriam Hospital, Centers for Behavioral and Preventative Medicine, 164 Summit St., Providence, RI 02906 USA,Butler Hospital, 345 Blackstone Blvd, Providence, RI 02906 USA,Corresponding author: Samantha G. Farris, Ph.D. at Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior; 345 Blackstone Blvd, Butler Hospital, Providence, RI 02906. ; Phone: 401-455-6219; Fax: 401-455-6685
| | - Elizabeth R. Aston
- Brown University School of Public Health, Center for Alcohol and Addiction Studies, Box G-S121-5, Providence, RI 02912 USA
| | - Michael J. Zvolensky
- University of Houston, Department of Psychology, 126 Fred J. Heyne Building, Houston, TX 77204 USA,The University of Texas MD Anderson Cancer Center, Department of Behavioral Science, 1155 Pressler St., Houston, TX 77230 USA
| | - Ana M. Abrantes
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, 345 Blackstone Blvd., Providence, RI 02906 USA,Butler Hospital, 345 Blackstone Blvd, Providence, RI 02906 USA
| | - Jane Metrik
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, 345 Blackstone Blvd., Providence, RI 02906, USA; Brown University School of Public Health, Center for Alcohol and Addiction Studies, Box G-S121-5, Providence, RI 02912, USA; Providence Veterans Affairs Medical Center, 830 Chalkstone Ave, Providence, RI 02908, USA.
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Ruggles KV, Fang Y, Tate J, Mentor SM, Bryant KJ, Fiellin DA, Justice AC, Braithwaite RS. What are the Patterns Between Depression, Smoking, Unhealthy Alcohol Use, and Other Substance Use Among Individuals Receiving Medical Care? A Longitudinal Study of 5479 Participants. AIDS Behav 2017; 21:2014-2022. [PMID: 27475945 DOI: 10.1007/s10461-016-1492-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
To evaluate and characterize the structure of temporal patterns of depression, smoking, unhealthy alcohol use, and other substance use among individuals receiving medical care, and to inform discussion about whether integrated screening and treatment strategies for these conditions are warranted. Using the Veterans Aging Cohort Study (VACS) we measured depression, smoking, unhealthy alcohol use and other substance use (stimulants, marijuana, heroin, opioids) and evaluated which conditions tended to co-occur within individuals, and how this co-occurrence was temporally structured (i.e. concurrently, sequentially, or discordantly). Current depression was associated with current use of every substance examined with the exception of unhealthy alcohol use. Current unhealthy alcohol use and marijuana use were also consistently associated. Current status was strongly predicted by prior status (p < 0.0001; OR = 2.99-22.34) however, there were few other sequential relationships. Associations in the HIV infected and uninfected subgroups were largely the same with the following exceptions. Smoking preceded unhealthy alcohol use and current smoking was associated with current depression in the HIV infected subgroup only (p < 0.001; OR = 1.33-1.41 and p < 0.001; OR = 1.25-1.43). Opioid use and current unhealthy alcohol use were negatively associated only in the HIV negative subgroup (p = 0.01; OR = 0.75). Patterns of depression, smoking, unhealthy alcohol use, and other substance use were temporally concordant, particularly with regard to depression and substance use. These patterns may inform future development of more integrated screening and treatment strategies.
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Affiliation(s)
- Kelly V Ruggles
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Yixin Fang
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Janet Tate
- Yale University School of Medicine, New Haven, CT, USA
| | - Sherry M Mentor
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Kendall J Bryant
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | | | - Amy C Justice
- Yale University School of Medicine, New Haven, CT, USA
| | - R Scott Braithwaite
- Department of Population Health, New York University School of Medicine, New York, NY, USA.
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Campbell BK, Le T, Andrews KB, Pramod S, Guydish J. Smoking among patients in substance use disorders treatment: associations with tobacco advertising, anti-tobacco messages, and perceived health risks. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2016; 42:649-656. [PMID: 27314450 PMCID: PMC5093078 DOI: 10.1080/00952990.2016.1183021] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 04/01/2016] [Accepted: 04/21/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND Although tobacco control efforts have contributed to an overall decline in smoking, individuals with substance use disorders (SUDs) continue to smoke at high rates and remain targets of advertising to vulnerable groups, including those with mental health disorders and SUDs. OBJECTIVES We examined associations of tobacco advertising exposure and receptivity, anti-tobacco message awareness, and health-risk perception with smoking status and cigarettes-per-day (CPD) in a national sample of SUD treatment patients. METHODS The patients (N = 1,113) in 24 programs chosen randomly, stratified by program type, from among publicly funded adult treatment programs within the National Drug Abuse Treatment Clinical Trials Network completed surveys of smoking, advertising exposure and receptivity, anti-tobacco message awareness, and perceived health risks. RESULTS Current smokers (77.9% of the sample) smoked a daily median of 10 cigarettes (IQR = 13). The participants reporting daily advertising exposure were 1.41 times more likely to be smokers (p = 0.019) than others. Those highly receptive to advertising were 2.34 times more likely to be smokers (p < 0.001) than those with low/moderate receptivity. Higher perceived health risk was associated with lower odds of smoking (OR = 0.99, 95% CI: 0.98-0.99, p < 0.001). CPD for smokers highly receptive to advertising was 11.1% (95% CI: 2.8%-20.0%) higher than for smokers with low/moderate advertising receptivity. Anti-tobacco message awareness was not associated with smoking status or CPD. CONCLUSION The high rate of smoking among SUD treatment patients is associated with daily exposure and high receptivity to tobacco advertisements and lower perception of health-related smoking risks. Tobacco control efforts should target this vulnerable population.
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Affiliation(s)
- Barbara K. Campbell
- OHSU/PSU School of Public Health, Oregon Health and Sciences University, 3181 SW Sam Jackson Park Road, Portland, OR 97239-3098
| | - Thao Le
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118
| | - K. Blakely Andrews
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118
| | - Sowmya Pramod
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118
| | - Joseph Guydish
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St., Ste. 265, San Francisco, CA 94118
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Abstract
PURPOSE OF REVIEW Illicit drugs, alcohol, and tobacco use disorders contribute substantially to the global burden of disease. Knowledge about the major elements of the natural history of substance use disorders (incidence, remission, persistence, and relapse) is crucial to a broader understanding of the course and outcomes of substance use disorders. RECENT FINDINGS Prospective cohort studies in nonclinical samples indicate that externalizing psychopathology in earlier life, including early disordered substance use, delinquency, and personality disorders, are related to substance use disorders later in life and chronic course. Externalizing psychopathology may be initiated by early adverse experiences, for example, childhood maltreatment and stressful life events. After controlling for confounders, 'age at first use' as a causal factor for alcohol use disorder later in life and the 'drug substitution' hypothesis are not supported in general population data. SUMMARY Future research should focus on elaborating the causal framework that leads to the development and persistence of severe substance use disorders, with an emphasis on identifying modifiable factors for intervention by policy makers or health professionals. More research is needed on the natural history of substance use disorders in low-income and middle-income countries.
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Hasin DS, Grant BF. The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings. Soc Psychiatry Psychiatr Epidemiol 2015; 50:1609-40. [PMID: 26210739 PMCID: PMC4618096 DOI: 10.1007/s00127-015-1088-0] [Citation(s) in RCA: 274] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/28/2015] [Indexed: 01/12/2023]
Abstract
PURPOSE The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking. METHOD NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized. RESULT The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers. CONCLUSIONS Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.
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Affiliation(s)
- Deborah S Hasin
- Department of Psychiatry, College of Physicians and Surgeons, New York, NY, 10032, USA
- Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
- New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Bridget F Grant
- Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5635 Fishers Lane, Room 3077, Rockville, MD, 20852, USA.
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Mackillop J, Murphy CM, Martin RA, Stojek M, Tidey JW, Colby SM, Rohsenow DJ. Predictive Validity of a Cigarette Purchase Task in a Randomized Controlled Trial of Contingent Vouchers for Smoking in Individuals With Substance Use Disorders. Nicotine Tob Res 2015; 18:531-7. [PMID: 26498173 DOI: 10.1093/ntr/ntv233] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 10/05/2015] [Indexed: 01/12/2023]
Abstract
INTRODUCTION A cigarette purchase task (CPT) is a behavioral economic measure of the reinforcing value of smoking in monetary terms (ie, cigarette demand). This study investigated whether cigarette demand predicted response to contingent monetary rewards for abstinence among individuals with substance use disorders. It also sought to replicate evidence for greater price sensitivity at whole-dollar pack price transitions (ie, left-digit effects). METHODS Participants (N = 338) were individuals in residential substance use disorder treatment who participated in a randomized controlled trial that compared contingent vouchers to noncontingent vouchers for smoking abstinence. Baseline demand indices were used to predict number of abstinent days during the 14-day voucher period (after the reduction lead-in) and at 1 and 3 months afterward. RESULTS Demand indices correlated with measures of smoking and nicotine dependence. As measured by elasticity, intensity and O max, higher demand significantly predicted fewer abstinent exhaled carbon monoxide readings during voucher period for individuals in the noncontingent vouchers condition. Breakpoint exhibited a trend-level association with abstinent exhaled carbon monoxide readings. Demand indices did not predict abstinence in the contingent vouchers group, and did not predict abstinence at 1- and 3-month follow-ups. Left-digit price transitions were associated with significantly greater reductions in consumption. CONCLUSIONS The association of cigarette demand with smoking behavior only in the group for whom abstinence was not incentivized indicates that CPT assesses the value of smoking more than the value of money per se and that vouchers counteract the effects of the intrinsic reinforcing value of cigarettes. Results provide initial short-term evidence of predictive validity for the CPT indices. IMPLICATIONS This study provides the first evidence of the validity of the CPT for predicting early response to brief advice for smoking cessation plus nicotine replacement in smokers with substance dependence. However, demand for cigarettes did not predict voucher-based treatment response, indicating that incentives serve as a powerful motivator not to smoke that acts in opposition to the intrinsic reinforcing value of cigarettes and that the indices reflect the value of smoking more than the value of money per se.
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Affiliation(s)
- James Mackillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Center for Alcohol and Addiction Studies, Brown University, Providence, RI; Department of Psychology, University of Georgia, Athens, GA
| | - Cara M Murphy
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI; Department of Psychology, University of Georgia, Athens, GA
| | - Rosemarie A Martin
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI
| | - Monika Stojek
- Department of Psychology, University of Georgia, Athens, GA
| | - Jennifer W Tidey
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI
| | - Suzanne M Colby
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI
| | - Damaris J Rohsenow
- Center for Alcohol and Addiction Studies, Brown University, Providence, RI; Research Service, Providence Veterans Affairs Medical Center, Providence, RI
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