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Bailey AJ, Quinn PD, McHugh RK. Implications of the shift to DSM-5 for alcohol use disorder prevalence estimates in the National Survey on Drug Use and Health. Addiction 2024. [PMID: 39252673 DOI: 10.1111/add.16670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 08/19/2024] [Indexed: 09/11/2024]
Abstract
BACKGROUND AND AIMS The Substance Abuse and Mental Health Services Administration's annual National Survey on Drug Use and Health (NSDUH) is a commonly used source for estimating trends in alcohol use disorders (AUD) in the United States. From 2015 to 2019 the annual prevalence of people diagnosed with either Diagnostic and Statistical Manual 4th edition (DSM-IV) alcohol abuse or dependence ranged from 5.3 to 5.9%. More recent estimates, using the DSM 5th edition (DSM-5) AUD diagnostic formulation, have been higher, with AUD base rates ranging from 10.1 to 10.7% from 2020 to 2022. This study aimed to compare the past 12-month base rates of AUD in the United States general population when using the DSM-5 versus DSM-IV AUD (i.e. abuse or dependence) and assess the AUD severity of individuals captured with each diagnostic formulation using DSM-5 AUD symptom counts. METHODS We examined descriptive trends in the rate of past-year NSDUH AUD diagnoses from 2015 to 2022. We contrasted them with trends in drinking behavior: the percentage of individuals who had ever reported drinking and the number of drinking days and binge drinking days for those who drink. We also analyzed the concordance between DSM-IV and DSM-5 AUD diagnoses in the 2020 NSDUH, which concurrently assessed AUD with both diagnostic formulations. RESULTS The transition to DSM-5 AUD formulation coincided with a drastic increase in AUD prevalence rates that occurred without increases in drinking behavior. In 2020 NSDUH data, the estimated past-year DSM-5 AUD prevalence rate was 10.1% compared with a 5.4% rate of past-year DSM-IV abuse or dependence. The DSM-5 AUD formulation captured more mild-severity individuals than the DSM-IV formulation. CONCLUSIONS Higher recent base rates of alcohol use disorders (AUD) in the National Survey on Drug Use and Health are likely, at least partially, explained by measurement changes in AUD; specifically, the shift from DSM-IV abuse or dependence to DSM-5 AUD. The DSM-5 formulation appears substantially more inclusive than the DSM-IV formulation, leading to a larger number of mild severity individuals being captured.
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Affiliation(s)
- Allen J Bailey
- Division of Alcohol, Drugs and Addiction, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Patrick D Quinn
- Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, USA
| | - R Kathryn McHugh
- Division of Alcohol, Drugs and Addiction, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Bailey AJ, McHugh RK. Examination of the mild, moderate, and severe alcohol use disorder severity indicators using a nationally representative sample. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2024; 38:668-675. [PMID: 38127523 PMCID: PMC11190027 DOI: 10.1037/adb0000983] [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: 12/23/2023]
Abstract
OBJECTIVE The Diagnostic and Statistical Manual of Mental Disorders, fifth edition conceptualizes alcohol use disorder (AUD) as a single continuum with indicators to denote the level of severity along this spectrum with the presence of 2-3, 4-5, or 6 + symptoms indicating mild, moderate, and severe AUD, respectively. However, despite the labels of these indicators, it remains unclear how individuals compare across these indicators, both in terms of AUD severity, but also risk for other related problems (e.g., depression). METHOD Confirmatory factor analysis was conducted on past year AUD symptoms to obtain estimates of latent AUD severity using data from the 2020 National Survey on Drug Use and Health (unweighted n = 31,941). The range and distribution of latent trait estimates were then compared across AUD diagnostic statuses (i.e., no AUD, mild, moderate, and severe). Multinomial regressions were then used to compare diagnostic groups based on alcohol use, problems with other substances, treatment utilization, and mental/physical health. RESULTS Results indicated very limited overlap in latent severity estimates between individuals with different severity indicators. Multinomial regression results demonstrated that some measures increased in a roughly stepwise fashion across AUD indicators (e.g., alcohol use and drinking behavior), while many did not. CONCLUSIONS Results partially support the current AUD indicators as AUD severity and co-occurring problems did broadly increase across the indicators. However, the present study also explores several ways to improve these indicators in future AUD formulations. For example, having indicators that account not only for the quantitative but also the qualitative differences in AUD presentation at different severity levels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Allen J. Bailey
- Division of Alcohol, Drugs, and Addiction, McLean Hospital, Belmont, MA, Department of Psychiatry, Harvard Medical School, Boston, MA, 115 Mill Street, Administration Building, G06, Belmont, MA 02478
| | - R. Kathryn McHugh
- Division of Alcohol, Drugs, and Addiction, McLean Hospital, Belmont, MA, Department of Psychiatry, Harvard Medical School, Boston, MA, 115 Mill Street, Administration Building, G06, Belmont, MA 02478
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Smith KE, Epstein DH, Weiss ST. Controversies in Assessment, Diagnosis, and Treatment of Kratom Use Disorder. Curr Psychiatry Rep 2024; 26:487-496. [PMID: 39134892 PMCID: PMC11344726 DOI: 10.1007/s11920-024-01524-1] [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] [Accepted: 07/17/2024] [Indexed: 08/25/2024]
Abstract
PURPOSE OF REVIEW We apply the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria for substance use disorders (SUDs) to the herbal product kratom. Similarities and differences between kratom use disorder (KUD) and other SUDs are explored, along with assessment, diagnostic, and therapeutic recommendations for KUD. RECENT FINDINGS Literature reports of "kratom addiction" or KUD rarely specify the criteria by which patients were diagnosed. Individuals meeting DSM-5 KUD criteria typically do so via tolerance and withdrawal, using more than intended, and craving, not functional or psychosocial disruption, which occur rarely. Most clinicians who use medication to treat patients with isolated KUD select buprenorphine formulations, although there are no controlled studies showing that buprenorphine is safe or efficacious in this patient population. Diagnosis and treatment decisions for KUD should be systematic. We propose an algorithm that takes into consideration whether KUD occurs with comorbid opioid use disorder.
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Affiliation(s)
- Kirsten E Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David H Epstein
- Translational Addiction Medicine Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd., Baltimore, MD, 21224, USA
| | - Stephanie T Weiss
- Translational Addiction Medicine Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd., Baltimore, MD, 21224, USA.
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Karlsson P, Callinan S, Gmel G, Raninen J. How well do DSM-5 criteria measure alcohol use disorder in the general population of older Swedish adolescents? An item response theory analysis. Addict Behav 2024; 154:108007. [PMID: 38460492 DOI: 10.1016/j.addbeh.2024.108007] [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: 11/08/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND This study assesses the psychometric properties of DSM-5 criteria of AUD in older Swedish adolescents using item response theory models, focusing specifically on the precision of the scale at the cut-offs for mild, moderate, and severe AUD. METHODS Data from the second wave of Futura01 was used. Futura01 is a nationally representative cohort study of Swedish people born 2001 and data for the second wave was collected when participants were 17/18 years old. This study included only participants who had consumed alcohol during the past 12 months (n = 2648). AUD was measured with 11 binary items. A 2-parameter logistic item response theory model (2PL) estimated the items' difficulty and discrimination parameters. RESULTS 31.8% of the participants met criteria for AUD. Among these, 75.6% had mild AUD, 18.3% had moderate, and 6.1% had severe AUD. A unidimensional AUD model had a good fit and 2PL models showed that the scale measured AUD over all three cut-offs for AUD severity. Although discrimination parameters ranged from moderate (1.24) to very high (2.38), the more commonly endorsed items discriminated less well than the more difficult items, as also reflected in less precision of the estimates at lower levels of AUD severity. The diagnostic uncertainty was pronounced at the cut-off for mild AUD. CONCLUSION DSM-5 criteria measure AUD with better precision at higher levels of AUD severity than at lower levels. As most older adolescents who fulfil an AUD diagnosis are in the mild category, notable uncertainties are involved when an AUD diagnosis is set in this group.
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Affiliation(s)
- Patrik Karlsson
- Department of Social Work, Stockholm University, Stockholm, Sweden.
| | - Sarah Callinan
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
| | - Gerhard Gmel
- Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23A, 1011 Lausanne, Switzerland; Research Department, Addiction Switzerland, Avenue Louis-Ruchonnet 14, 1003 Lausanne, Switzerland; Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, 250 College Street, Toronto, ON M5T 1R8, Canada; Alcohol and Research Unit, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK
| | - Jonas Raninen
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia; Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden
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Rogers JM, Colvin K, Epstein DH, Grundmann O, McCurdy CR, Smith KE. Growing pains with kratom: experiences discussed in subreddits contrast with satisfaction expressed in surveys. Front Pharmacol 2024; 15:1412397. [PMID: 38948457 PMCID: PMC11211595 DOI: 10.3389/fphar.2024.1412397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/28/2024] [Indexed: 07/02/2024] Open
Abstract
Background "Kratom" refers to an array of bioactive products derived from Mitragyna speciosa, a tree indigenous to Southeast Asia. Most kratom consumers report analgesic and stimulatory effects, and common reasons for use are to address mental and physical health needs, manage pain, and to reduce use of other substances. Natural-history studies and survey studies suggest that many kratom consumers perceive benefits from those uses, but such studies are unlikely to capture the full range of kratom-use experiences. Methods We collected text data from Reddit posts from 2020-2022 to qualitatively examine conceptualizations, motivations, effects, and consequences associated with kratom use among people posting to social media. Reddit posts mentioning kratom were studied using template thematic analysis, which included collecting descriptions of kratom product types and use practices. Network analyses of coded themes was performed to examine independent relationships among themes, and between themes and product types. Results Codes were applied to 329 of the 370 posts that comprised the final sample; 134 posts contained kratom product descriptions. As Reddit accounts were functionally anonymous, demographic estimates were untenable. Themes included kratom physical dependence (tolerance, withdrawal, or use to avoid withdrawal), perceived addiction (net detrimental effects on functioning), and quitting. Extract products were positively associated with reports of perceived addiction, dependence, and experiences of quitting kratom. Many used kratom for energy and self-treatment of pain, fatigue, and problems associated with opioid and alcohol; they perceived these uses as effective. Consumers expressed frustrations about product inconsistencies and lack of product information. Conclusion As in previous studies, kratom was deemed helpful for some and a hindrance to others, but we also found evidence of notable negative experiences with kratom products that have not been well documented in surveys. Daily kratom use may produce mild-moderate physical dependence, with greater severity being possibly more common with concentrated extracts; however, there are currently no human laboratory studies of concentrated kratom extracts. Such studies, and detailed kratom product information, are needed to help inform consumer decision-making.
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Affiliation(s)
- Jeffrey M. Rogers
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, United States
| | - Kayla Colvin
- Real-world Assessment, Prediction, and Treatment Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, United States
| | - David H. Epstein
- Real-world Assessment, Prediction, and Treatment Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD, United States
| | - Oliver Grundmann
- College of Pharmacy, Department of Medicinal Chemistry, University of Florida, Gainesville, FL, United States
| | - Christopher R. McCurdy
- College of Pharmacy, Department of Medicinal Chemistry, University of Florida, Gainesville, FL, United States
| | - Kirsten E. Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States
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Neufeld SAS, St Clair M, Brodbeck J, Wilkinson PO, Goodyer IM, Jones PB. Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the p Factor. Assessment 2024; 31:774-793. [PMID: 37350099 PMCID: PMC11092300 DOI: 10.1177/10731911231182687] [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: 06/24/2023]
Abstract
Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a construct over time, this is rarely and inconsistently performed in bifactor models. Our review of MI simulation literature revealed that only one study assessed MI in bifactor models under limited conditions. Recommendations for how to assess MI in bifactor models are suggested based on existing simulation studies of related models. Estimator choice and influence of missing data on MI are also discussed. An empirical example based on a model of the general psychopathology factor (p) elucidates our recommendations, with the present model of p being the first to exhibit residual MI across gender and time. Thus, changes in the ordered-categorical indicators can be attributed to changes in the latent factors. However, further work is needed to clarify MI guidelines for bifactor models, including considering the impact of model complexity and number of indicators. Nonetheless, using the guidelines justified herein to establish MI allows findings from bifactor models to be more confidently interpreted, increasing their comparability and utility.
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Chassin L, Sher KJ. Understanding alcohol use and alcohol use disorders from a developmental psychopathology perspective: Research advances, challenges, and future directions. Dev Psychopathol 2024:1-15. [PMID: 38655739 DOI: 10.1017/s0954579424000671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
As part of the special issue of Development and Psychopathology honoring the remarkable contributions of Dr Dante Cicchetti, the current paper attempts to describe the recent contributions that a developmental psychopathology perspective has made in understanding the development of alcohol use and alcohol-related problems over the lifespan. The paper also identifies some of the future challenges and research directions. Because the scope of this task far exceeds the confines of a journal length article this paper does not attempt a comprehensive review. Rather, it builds on an earlier review and commentary that was published in Development and Psychopathology in 2013, with a similar goal.)Building on that work and updating its conclusions and suggestions for future directions, the current paper emphasizes findings from the research areas that were identified for further study in 2013 and the findings that have been published since that time.
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Stanton K, Balzen KM, DeFluri C, Brock P, Levin-Aspenson HF, Zimmerman M. Negative Mood Dysregulation Loads Strongly Onto Common Factors With Many Forms of Psychopathology: Considerations for Assessing Nonspecific Symptoms. Assessment 2024; 31:637-650. [PMID: 37232256 DOI: 10.1177/10731911231174471] [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] [Indexed: 05/27/2023]
Abstract
There have been proposals to expand definitions for categorical disorders and dimensionally conceptualized syndromes (e.g., psychopathy) to include negative mood lability and dysregulation (NMD). Factor analytic results are often presented in support of these proposals, and we provide factor analytic demonstrations across clinically oriented samples showing that NMD indicators load strongly onto factors with a range of psychopathology. This is unsurprising from a transdiagnostic perspective but shows that factor analysis could potentially be used to justify expanding definitions for specific constructs even though NMD indicators show strong, nonspecific loadings on psychopathology factors ranging widely in nature. Expanding construct definitions and assessment approaches to emphasize NMD also may negatively impact discriminant validity. We agree that targeting NMD is essential for comprehensive assessment, but our demonstrative analyses highlight a need for using factor analysis and other statistical methods in a careful, theoretically driven manner when evaluating psychopathology structure and developing measures.
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Boness CL, Carlos Gonzalez J, Sleep C, Venner KL, Witkiewitz K. Evidence-Based Assessment of Substance Use Disorder. Assessment 2024; 31:168-190. [PMID: 37322848 PMCID: PMC11059671 DOI: 10.1177/10731911231177252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The current review describes updated information on the evidence-based assessment of substance use disorder. We offer an overview of the state of the science for substance-related assessment targets, instruments (screening, diagnosis, outcome and treatment monitoring, and psychosocial functioning and wellbeing) and processes (relational and technical) as well as recommendations for each of these three components. We encourage assessors to reflect on their own biases, beliefs, and values, including how those relate to people that use substances, and to view the individual as a whole person. It is important to consider a person's profile of symptoms and functioning inclusive of strengths, comorbidities, and social and cultural determinants. Collaborating with the patient to select the assessment target that best fits their goals and integration of assessment information in a holistic manner is critical. We conclude by providing recommendations for assessment targets, instruments, and processes as well as recommendations for comprehensive substance use disorder assessment, and describe future directions for research.
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Affiliation(s)
- Cassandra L Boness
- University of New Mexico, Center on Alcohol, Substance use, And Addictions, Albuquerque, NM, USA
| | | | - Chelsea Sleep
- Cincinnati VA Medical Center, OH, USA
- University of Cincinnati, OH, USA
| | - Kamilla L Venner
- University of New Mexico, Center on Alcohol, Substance use, And Addictions, Albuquerque, NM, USA
| | - Katie Witkiewitz
- University of New Mexico, Center on Alcohol, Substance use, And Addictions, Albuquerque, NM, USA
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Sher KJ. The Heterogeneous Nature of Substance Use and Substance Use Disorders: Implications for Characterizing Substance-Related Stigma. Psychol Sci Public Interest 2023; 24:82-89. [PMID: 38095161 DOI: 10.1177/15291006231212385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Affiliation(s)
- Kenneth J Sher
- Department of Psychological Sciences, University of Missouri
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11
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Miller AP, Kuo SIC, Johnson EC, Tillman R, Brislin SJ, Dick DM, Kamarajan C, Kinreich S, Kramer J, McCutcheon VV, Plawecki MH, Porjesz B, Schuckit MA, Salvatore JE, Edenberg HJ, Bucholz KK, Meyers JL, Agrawal A. Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder. JAMA Netw Open 2023; 6:e2337192. [PMID: 37815828 PMCID: PMC10565602 DOI: 10.1001/jamanetworkopen.2023.37192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/22/2023] [Indexed: 10/11/2023] Open
Abstract
Importance Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria. Objective To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. Design, Setting, and Participants This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. Main Outcomes and Measures Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). Results A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. Conclusions and Relevance In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sarah J. Brislin
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | | | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego
| | - Jessica E. Salvatore
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Jaquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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Stiltner B, Pietrzak RH, Tylee DS, Nunez YZ, Adhikari K, Kranzler HR, Gelernter J, Polimanti R. Polysubstance addiction patterns among 7,989 individuals with cocaine use disorder. iScience 2023; 26:107336. [PMID: 37554454 PMCID: PMC10405253 DOI: 10.1016/j.isci.2023.107336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/22/2023] [Accepted: 07/06/2023] [Indexed: 08/10/2023] Open
Abstract
To characterize polysubstance addiction (PSA) patterns of cocaine use disorder (CoUD), we performed a latent class analysis (LCA) in 7,989 participants with a lifetime DSM-5 diagnosis of CoUD. This analysis identified three PSA subgroups among CoUD participants (i.e., low, 17%; intermediate, 38%; high, 45%). While these subgroups varied by age, sex, and racial-ethnic distribution (p < 0.001), there was no difference with respect to education or income (p > 0.05). After accounting for sex, age, and race-ethnicity, the CoUD subgroup with high PSA had higher odds of antisocial personality disorder (OR = 21.96 vs. 6.39, difference-p = 8.08✕10-6), agoraphobia (OR = 4.58 vs. 2.05, difference-p = 7.04✕10-4), mixed bipolar episode (OR = 10.36 vs. 2.61, difference-p = 7.04✕10-4), posttraumatic stress disorder (OR = 11.54 vs. 5.86, difference-p = 2.67✕10-4), antidepressant medication use (OR = 13.49 vs. 8.02, difference-p = 1.42✕10-4), and sexually transmitted diseases (OR = 5.92 vs. 3.38, difference-p = 1.81✕10-5) than the low-PSA CoUD subgroup. These findings underscore the importance of modeling PSA severity and comorbidities when examining the clinical, molecular, and neuroimaging correlates of CoUD.
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Affiliation(s)
- Brendan Stiltner
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Robert H. Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Daniel S. Tylee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Yaira Z. Nunez
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Keyrun Adhikari
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Henry R. Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Mental Illness Research, Education, and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
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Morris J, Boness CL, Witkiewitz K. A continuum model of alcohol use and problems can advance public health goals without undermining treatment agendas. Reply to commentaries. DRUGS (ABINGDON, ENGLAND) 2023; 31:287-288. [PMID: 38863692 PMCID: PMC11164551 DOI: 10.1080/09687637.2023.2244658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 07/31/2023] [Indexed: 06/13/2024]
Affiliation(s)
- James Morris
- Centre for Addictive Behaviours Research, School of Applied Sciences, London South Bank University, London, UK
| | - Cassandra L. Boness
- Center on Alcohol, Substance use, And Addictions, University of New Mexico, Albuquerque, NM, USA
| | - Katie Witkiewitz
- Center on Alcohol, Substance use, And Addictions, University of New Mexico, Albuquerque, NM, USA
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Carmichael J, Spitz G, Gould KR, Johnston L, Samiotis A, Ponsford J. Bifactor analysis of the Hospital Anxiety and Depression Scale (HADS) in individuals with traumatic brain injury. Sci Rep 2023; 13:8017. [PMID: 37198250 DOI: 10.1038/s41598-023-35017-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/11/2023] [Indexed: 05/19/2023] Open
Abstract
Anxiety and depression symptoms are commonly experienced after traumatic brain injury (TBI). However, studies validating measures of anxiety and depression for this population are scarce. Using novel indices derived from symmetrical bifactor modeling, we evaluated whether the Hospital Anxiety and Depression Scale (HADS) reliably differentiated anxiety and depression in 874 adults with moderate-severe TBI. The results showed that there was a dominant general distress factor accounting for 84% of the systematic variance in HADS total scores. The specific anxiety and depression factors accounted for little residual variance in the respective subscale scores (12% and 20%, respectively), and overall, minimal bias was found in using the HADS as a unidimensional measure. Further, in a subsample of 184 participants, the HADS subscales did not clearly discriminate between formal anxiety and depressive disorders diagnosed via clinical interview. Results were consistent when accounting for degree of disability, non-English speaking background, and time post-injury. In conclusion, variance in HADS scores after TBI predominately reflects a single underlying latent variable. Clinicians and researchers should exercise caution in interpreting the individual HADS subscales and instead consider using the total score as a more valid, transdiagnostic measure of general distress in individuals with TBI.
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Affiliation(s)
- Jai Carmichael
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia.
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia.
| | - Gershon Spitz
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
- Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Kate Rachel Gould
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
| | - Lisa Johnston
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
| | - Alexia Samiotis
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, Australia
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia
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15
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Watts AL, Latzman RD, Boness CL, Kotov R, Keyser-Marcus L, DeYoung CG, Krueger RF, Zald DH, Moeller FG, Ramey T. New approaches to deep phenotyping in addictions. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2023; 37:361-375. [PMID: 36174150 PMCID: PMC10050231 DOI: 10.1037/adb0000878] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The causes of substance use disorders (SUDs) are largely unknown and the effectiveness of their treatments is limited. One crucial impediment to research and treatment progress surrounds how SUDs are classified and diagnosed. Given the substantial heterogeneity among individuals diagnosed with a given SUD (e.g., alcohol use disorder [AUD]), identifying novel research and treatment targets and developing new study designs is daunting. METHOD In this article, we review and integrate two recently developed frameworks, the National Institute on Drug Abuse's Phenotyping Assessment Battery (NIDA PhAB) and the Hierarchical Taxonomy of Psychopathology (HiTOP), that hope to accelerate progress in understanding the causes and consequences of psychopathology by means of deep phenotyping, or finer-grained analysis of phenotypes. RESULTS AND CONCLUSIONS NIDA PhAB focuses on addiction-related processes across multiple units of analysis, whereas HiTOP focuses on clinical phenotypes and covers a broader range of psychopathology. We highlight that NIDA PhAB and HiTOP together provide deep and broad characterizations of people diagnosed with SUDs and complement each other in their efforts to address widely known limitations of traditional classification systems and their diagnostic categories. Next, we show how NIDA PhAB and HiTOP can be integrated to facilitate optimal rich phenotyping of addiction-related phenomena. Finally, we argue that such deep phenotyping promises to advance our understanding of the neurobiology of SUD and addiction, which will guide the development of personalized medicine and interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Ashley L Watts
- Department of Psychological Sciences, University of Missouri
| | | | - Cassandra L Boness
- Center on Alcohol, Substance Use, and Addictions, University of New Mexico
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University
| | | | | | | | - David H Zald
- Center for Advanced Human Brain Research, Department of Psychiatry, Rutgers University
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16
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Southward MW, Cheavens JS, Coccaro EF. Defining the p-factor: an empirical test of five leading theories. Psychol Med 2023; 53:2732-2743. [PMID: 35711145 PMCID: PMC10235655 DOI: 10.1017/s0033291722001635] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 04/25/2022] [Accepted: 05/13/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Despite statistical evidence of a general factor of psychopathology (i.e., p-factor), there is little agreement about what the p-factor represents. Researchers have proposed five theories: dispositional negative emotionality (neuroticism), impulsive responsivity to emotions (impulsivity), thought dysfunction, low cognitive functioning, and impairment. These theories have primarily been inferred from patterns of loadings of diagnoses on p-factors with different sets of diagnoses included in different studies. Researchers who have directly examined these theories of p have examined a subset of the theories in any single sample, limiting the ability to compare the size of their associations with a p-factor. METHODS In a sample of adults (N = 1833, Mage = 34.20, 54.4% female, 53.3% white) who completed diagnostic assessments, self-report measures, and cognitive tests, we evaluated statistical p-factor structures across modeling approaches and compared the strength of associations among the p-factor and indicators of each of these five theories. RESULTS We found consistent evidence of the p-factor's unidimensionality across one-factor and bifactor models. The p-factor was most strongly and similarly associated with neuroticism (r = .88), impairment (r = .88), and impulsivity (r = .87), χ2(1)s < .15, ps > .70, and less strongly associated with thought dysfunction (r = .78), χ2(1)s > 3.92, ps < .05, and cognitive functioning (r = -.25), χ2(1)s > 189.56, ps < .01. CONCLUSIONS We discuss a tripartite definition of p that involves the transaction of impulsive responses to frequent negative emotions leading to impairment that extends and synthesizes previous theories of psychopathology.
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Affiliation(s)
| | | | - Emil F. Coccaro
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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17
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Matson TE, Hallgren KA, Lapham GT, Oliver M, Wang X, Williams EC, Bradley KA. Psychometric Performance of a Substance Use Symptom Checklist to Help Clinicians Assess Substance Use Disorder in Primary Care. JAMA Netw Open 2023; 6:e2316283. [PMID: 37234003 PMCID: PMC10220521 DOI: 10.1001/jamanetworkopen.2023.16283] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/18/2023] [Indexed: 05/27/2023] Open
Abstract
Importance Substance use disorders (SUDs) are underrecognized in primary care, where structured clinical interviews are often infeasible. A brief, standardized substance use symptom checklist could help clinicians assess SUD. Objective To evaluate the psychometric properties of the Substance Use Symptom Checklist (hereafter symptom checklist) used in primary care among patients reporting daily cannabis use and/or other drug use as part of population-based screening and assessment. Design, Setting, and Participants This cross-sectional study was conducted among adult primary care patients who completed the symptom checklist during routine care between March 1, 2015, and March 1, 2020, at an integrated health care system. Data analysis was conducted from June 1, 2021, to May 1, 2022. Main Outcomes and Measures The symptom checklist included 11 items corresponding to SUD criteria in the Diagnostic and Statistical Manual for Mental Disorders (Fifth Edition) (DSM-5). Item response theory (IRT) analyses tested whether the symptom checklist was unidimensional and reflected a continuum of SUD severity and evaluated item characteristics (discrimination and severity). Differential item functioning analyses examined whether the symptom checklist performed similarly across age, sex, race, and ethnicity. Analyses were stratified by cannabis and/or other drug use. Results A total of 23 304 screens were included (mean [SD] age, 38.2 [5.6] years; 12 554 [53.9%] male patients; 17 439 [78.8%] White patients; 20 393 [87.5%] non-Hispanic patients). Overall, 16 140 patients reported daily cannabis use only, 4791 patients reported other drug use only, and 2373 patients reported both daily cannabis and other drug use. Among patients with daily cannabis use only, other drug use only, or both daily cannabis and other drug use, 4242 (26.3%), 1446 (30.2%), and 1229 (51.8%), respectively, endorsed 2 or more items on the symptom checklist, consistent with DSM-5 SUD. For all cannabis and drug subsamples, IRT models supported the unidimensionality of the symptom checklist, and all items discriminated between higher and lower levels of SUD severity. Differential item functioning was observed for some items across sociodemographic subgroups but did not result in meaningful change (<1 point difference) in the overall score (0-11). Conclusions and Relevance In this cross-sectional study, a symptom checklist, administered to primary care patients who reported daily cannabis and/or other drug use during routine screening, discriminated SUD severity as expected and performed well across subgroups. Findings support the clinical utility of the symptom checklist for standardized and more complete SUD symptom assessment to help clinicians make diagnostic and treatment decisions in primary care.
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Affiliation(s)
- Theresa E. Matson
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle
- Health Services Research & Development Center for Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Kevin A. Hallgren
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle
| | - Gwen T. Lapham
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle
| | - Malia Oliver
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Xiaoming Wang
- Center for the Clinical Trials Network, National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
| | - Emily C. Williams
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle
- Health Services Research & Development Center for Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Katharine A. Bradley
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle
- Department of Medicine, University of Washington School of Medicine, Seattle
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18
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Morris J, Boness CL, Witkiewitz K. Should we promote alcohol problems as a continuum? Implications for policy and practice. DRUGS (ABINGDON, ENGLAND) 2023; 31:271-281. [PMID: 38682086 PMCID: PMC11052541 DOI: 10.1080/09687637.2023.2187681] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/01/2023] [Indexed: 04/03/2023]
Abstract
The highly heterogeneous nature of alcohol use and problems has presented significant challenges to those attempting to understand, treat or prevent what is commonly termed alcohol use disorder (AUD). However, any attempts to capture this complex phenomenon, including the various current criterion of AUD, come with a number of limitations. One particular limitation has been how alcohol problems are represented or understood in ways which do not capture the broad spectrum of alcohol use and harms and the many potential routes to prevention, treatment, and recovery. One possible response to this has been proposed as more explicitly framing or conceptualizing a continuum model of alcohol use and harms. In this commentary, we attempt to identify the key implications of a continuum model for policy and practice, examining the historical and current context of alcohol problem classifications and models. We argue a continuum model of alcohol use and problems holds a number of advantages for advancing public health goals, but also some potential limitations, both of which require further examination.
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Affiliation(s)
- J Morris
- Centre for Addictive Behaviours Research, School of Applied Sciences, London South Bank University, United Kingdom
| | - C L Boness
- Center on Alcohol, Substance use, And Addictions, University of New Mexico, Albuquerque, New Mexico
| | - K Witkiewitz
- Center on Alcohol, Substance use, And Addictions, University of New Mexico, Albuquerque, New Mexico
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19
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Stiltner B, Pietrzak RH, Tylee DS, Nunez YZ, Adhikari K, Kranzler HR, Gelernter J, Polimanti R. Polysubstance addiction and psychiatric, somatic comorbidities among 7,989 individuals with cocaine use disorder: a latent class analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.08.23285653. [PMID: 36798273 PMCID: PMC9934788 DOI: 10.1101/2023.02.08.23285653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Aims We performed a latent class analysis (LCA) in a sample ascertained for addiction phenotypes to investigate cocaine use disorder (CoUD) subgroups related to polysubstance addiction (PSA) patterns and characterized their differences with respect to psychiatric and somatic comorbidities. Design Cross-sectional study. Setting United States. Participants Adult participants aged 18-76, 39% female, 47% African American, 36% European American with a lifetime DSM-5 diagnosis of CoUD (N=7,989) enrolled in the Yale-Penn cohort. The control group included 2,952 Yale-Penn participants who did not meet for alcohol, cannabis, cocaine, opioid, or tobacco use disorders. Measurements Psychiatric disorders and related traits were assessed via the Semi-structured Assessment for Drug Dependence and Alcoholism. These features included substance use disorders (SUD), family history of substance use, sociodemographic information, traumatic events, suicidal behaviors, psychopathology, and medical history. LCA was conducted using diagnoses and diagnostic criteria of alcohol, cannabis, opioid, and tobacco use disorders. Findings Our LCA identified three subgroups of PSA (i.e., low, 17%; intermediate, 38%; high, 45%) among 7,989 CoUD participants. While these subgroups varied by age, sex, and racial-ethnic distribution (p<0.001), there was no difference on education or income (p>0.05). After accounting for sex, age, and race-ethnicity, the CoUD subgroup with high PSA had higher odds of antisocial personality disorder (OR=21.96 vs. 6.39, difference-p=8.08×10 -6 ), agoraphobia (OR=4.58 vs. 2.05, difference-p=7.04×10 -4 ), mixed bipolar episode (OR=10.36 vs. 2.61, difference-p=7.04×10 -4 ), posttraumatic stress disorder (OR=11.54 vs. 5.86, difference-p=2.67×10 -4 ), antidepressant medication use (OR=13.49 vs. 8.02, difference-p=1.42×10 -4 ), and sexually transmitted diseases (OR=5.92 vs. 3.38, difference-p=1.81×10 -5 ) than the low-PSA CoUD subgroup. Conclusions We found different patterns of PSA in association with psychiatric and somatic comorbidities among CoUD cases within the Yale-Penn cohort. These findings underscore the importance of modeling PSA severity and comorbidities when examining the clinical, molecular, and neuroimaging correlates of CoUD.
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20
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Acuff SF, Boness CL, McDowell Y, Murphy JG, Sher KJ. Contextual decision-making and alcohol use disorder criteria: Delayed reward, delayed loss, and probabilistic reward discounting. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2023; 37:121-131. [PMID: 35925727 PMCID: PMC9851925 DOI: 10.1037/adb0000867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Alcohol use disorder (AUD) is an etiologically heterogeneous psychiatric disorder defined by a collection of commonly observed co-occurring symptoms. It is useful to contextualize AUD within theoretical frameworks to identify potential prevention, intervention, and treatment approaches that target personalized mechanisms of behavior change. One theoretical framework, behavioral economics, suggests that AUD is a temporally extended pattern of cost/benefit analyses favoring drinking decisions. The distribution of costs and benefits across choice outcomes is often unequally distributed over time and has different probabilities of receipt, such that delay and probability become critical variables. The present study examines the relations between different forms of economic discounting (delayed reward, delayed cost, and probabilistic reward) and individual symptoms of AUD to inform etiological models. METHOD Participants (N = 732; 41% female, 4.2% Black, 88.1% White, 8% Hispanic) completed an online survey with measures of AUD symptoms and economic discounting. We examined relations between economic discounting and AUD symptoms with zero-order correlations, in separate models (factor models), and in models controlling for an AUD factor (factor-controlled models). RESULTS Delayed reward discounting was positively associated with the give up AUD criteria across all three levels of analysis. Probability discounting was associated with social/interpersonal problems across two out of three sets of analyses. Consistent with the broad discounting literature, effect sizes were small (range = -.15 to .13). CONCLUSIONS These results support the idea that AUD criteria are etiologically distinct, resulting in varying AUD profiles between persons that are differentially associated with behavioral economic discounting. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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21
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Watts AL, Watson D, Heath AC, Sher KJ. Alcohol use disorder criteria exhibit different comorbidity patterns. Addiction 2023. [PMID: 36606740 DOI: 10.1111/add.16121] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Alcohol use disorder is comorbid with numerous other forms of psychopathology, including externalizing disorders (e.g. conduct disorder) and, to a lesser extent, internalizing conditions (e.g. depression, anxiety). Much of the time, overlap among alcohol use disorder and other conditions is explored at the disorder level, assuming that criteria are co-equal indicators of other psychopathology, even though alcohol use disorder criteria span numerous varied domains. Emerging evidence suggests that there are symptom clusters within the construct of alcohol use disorder that relate differentially with important external criteria, including psychopathology and allied personality traits (e.g. impulsivity, novelty-seeking). The present study mapped individual alcohol use disorder criteria onto internalizing and externalizing dimensions. DESIGN AND PARTICIPANTS We used multivariate and factor analytical modeling and data from two large nationally representative samples of past year drinkers (n = 25 604; 19 454). SETTING United States. MEASUREMENTS Psychopathology was assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule, yielding alcohol use disorder criteria, internalizing diagnoses (i.e. major depressive disorder, dysthymia, social anxiety disorder, generalized anxiety disorder, specific phobia, agoraphobia and panic disorder) and externalizing diagnoses and symptoms (i.e. antisocial personality disorder, conduct disorder and three impulsivity items drawn from borderline personality disorder criteria). Alcohol consumption was assessed in terms of past-year drinking frequency, usual amount of alcohol consumed on drinking days, binge drinking frequency, intoxication frequency, and maximum number of drinks in a 24-hour period. FINDINGS Four different patterns emerged. First, several alcohol use disorder criteria were relatively weakly associated with externalizing and internalizing. Secondly, withdrawal was associated with internalizing, but this association was not specific to distress. Thirdly, there was a general lack of specificity between alcohol use disorder criteria and narrower forms of internalizing, despite what might be predicted by modern models of addiction. Fourthly, recurrent use in hazardous situations reflected higher degrees of externalizing and lower internalizing liability. CONCLUSIONS Different symptom combinations appear to yield differential expressions of alcohol use disorder that are disorder-specific, or reflect broader tendencies toward externalizing, internalizing or both.
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Affiliation(s)
- Ashley L Watts
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Andrew C Heath
- School of Medicine, Department of Psychiatry, Washington University, St Louis, MI, USA
| | - Kenneth J Sher
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
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22
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Stanton K, Watts AL, Levin-Aspenson HF, Carpenter RW, Emery NN, Zimmerman M. Focusing Narrowly on Model Fit in Factor Analysis Can Mask Construct Heterogeneity and Model Misspecification: Applied Demonstrations across Sample and Assessment Types. J Pers Assess 2023; 105:1-13. [PMID: 35286224 DOI: 10.1080/00223891.2022.2047060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 02/09/2022] [Indexed: 02/01/2023]
Abstract
This study builds upon research indicating that focusing narrowly on model fit when evaluating factor analytic models can lead to problematic inferences regarding the nature of item sets, as well as how models should be applied to inform measure development and validation. To advance research in this area, we present concrete examples relevant to researchers in clinical, personality, and related subfields highlighting two specific scenarios when an overreliance on model fit may be problematic. Specifically, we present data analytic examples showing that focusing narrowly on model fit may lead to (a) incorrect conclusions that heterogeneous item sets reflect narrower homogeneous constructs and (b) the retention of potentially problematic items when developing assessment measures. We use both interview data from adult outpatients (N = 2,149) and self-report data from adults recruited online (N = 547) to demonstrate the importance of these issues across sample types and assessment methods. Following demonstrations with these data, we make recommendations focusing on how other model characteristics (e.g., factor loading patterns; carefully considering the content and nature of factor indicators) should be considered in addition to information provided by model fit indices when evaluating factor analytic models.
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Affiliation(s)
| | - Ashley L Watts
- Department of Psychological Sciences, University of Missouri
| | | | - Ryan W Carpenter
- Department of Psychological Sciences, University of Missouri-St. Louis
| | - Noah N Emery
- Department of Psychology, Colorado State University
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23
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Watts AL, Greene AL, Ringwald W, Forbes MK, Brandes CM, Levin-Aspenson HF, Delawalla C. Factor analysis in personality disorders research: Modern issues and illustrations of practical recommendations. Personal Disord 2023; 14:105-117. [PMID: 36848078 PMCID: PMC10044462 DOI: 10.1037/per0000581] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
The development of factor analysis is uniquely situated within psychology, and the development of many psychological theories and measures are likewise tethered to the common use of factor analysis. In this article, we review modern methodological controversies and developments of factor analytic techniques through concrete demonstrations that span the exploratory-confirmatory continuum. Also, we provide recommendations for working through common challenges in personality disorders research. To help researchers conduct riskier tests of their theory-implied models, we review what factor analysis is and is not, as well as some dos and don'ts for engaging in the process of model evaluation and selection. Throughout, we also emphasize the need for closer alignment between factor models and our theories, as well as clearer statements about which criteria would support or refute the theories being tested. Consideration of these themes appears promising in terms of advances in theory, research, and treatment surrounding the nature and impact of personality disorders. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Ashley L. Watts
- Department of Psychological Sciences, University of Missouri, Columbia, MO
| | - Ashley L. Greene
- VISN 2 Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Whitney Ringwald
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Miriam K. Forbes
- Centre for Emotional Health and School of Psychological Sciences, Macquarie University, Sydney, Australia
| | | | - Holly F. Levin-Aspenson
- Department of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, RI
| | - Colette Delawalla
- Department of Psychological Science, Ball State University, Muncie, IN
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24
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Fink DS, Shmulewitz D, Mannes ZL, Stohl M, Livne O, Wall M, Hasin DS. Construct validity of DSM-5 cannabis use disorder diagnosis and severity levels in adults with problematic substance use. J Psychiatr Res 2022; 155:387-394. [PMID: 36182768 PMCID: PMC9590423 DOI: 10.1016/j.jpsychires.2022.09.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/02/2022] [Accepted: 09/16/2022] [Indexed: 10/31/2022]
Abstract
The DSM-5 definition of cannabis use disorder (CUD) differs from DSM-IV by combining abuse and dependence criteria (without the legal criterion) and including withdrawal and craving criteria. Information on construct validity of the DSM-5 CUD diagnosis and severity levels is lacking. This study examines the associations between DSM-5 CUD and severity classification and a set of concurrent validators. Adults with problematic substance use were recruited from two settings: a research setting in an urban medical center and a suburban inpatient addiction treatment program. Participants who reported past-year cannabis use (n = 392) were included in this study and completed a semi-structured, clinician-administered diagnostic interview. Regression models estimated the associations between binary DSM-5 CUD and severity levels with a set of validators, including cannabis use variables, psychopathology, and functional impairment. DSM-5 CUD and all severity levels were associated with cannabis use validators, including number of days used, self-reporting that cannabis use was a major problem, and greater cannabis craving. DSM-5 CUD and severe CUD were associated with other psychiatric disorders and social impairment. Findings add information about the validity of DSM-5 CUD diagnosis and severity levels, with severe CUD receiving the strongest support from its association with validators across all domains, as distinct from the mild and moderate CUD measures that were associated with cannabis-specific validators alone. Severe CUD is likely to require more intensive treatment to bolster physical, psychiatric, and social functioning, whereas the mild and moderate severity thresholds provide useful information for identifying less severe disorders for prevention and brief intervention.
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Affiliation(s)
- David S Fink
- New York State Psychiatric Institute, New York, NY, USA
| | - Dvora Shmulewitz
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Zachary L Mannes
- New York State Psychiatric Institute, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Malka Stohl
- New York State Psychiatric Institute, New York, NY, USA
| | - Ofir Livne
- New York State Psychiatric Institute, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Melanie Wall
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Deborah S Hasin
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
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25
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Wendt LP, Jankowsky K, Schroeders U, Nolte T, Fonagy P, Montague PR, Zimmermann J, Olaru G. Mapping established psychopathology scales onto the Hierarchical Taxonomy of Psychopathology (HiTOP). Personal Ment Health 2022; 17:117-134. [PMID: 36162810 DOI: 10.1002/pmh.1566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 11/05/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) organizes phenotypes of mental disorder based on empirical covariation, offering a comprehensive organizational framework from narrow symptoms to broader patterns of psychopathology. We argue that established self-report measures of psychopathology from the pre-HiTOP era should be systematically integrated into HiTOP to foster cumulative research and further the understanding of psychopathology structure. Hence, in this study, we mapped 92 established psychopathology (sub)scales onto the current HiTOP working model using data from an extensive battery of self-report assessments that was completed by community participants and outpatients (N = 909). Content validity ratings of the item pool were used to select indicators for a bifactor-(S-1) model of the p factor and five HiTOP spectra (i.e., internalizing, thought disorder, detachment, disinhibited externalizing, and antagonistic externalizing). The content-based HiTOP scales were validated against personality disorder diagnoses as assessed by standardized interviews. We then located established scales within the taxonomy by estimating the extent to which scales reflected higher-level HiTOP dimensions. The analyses shed light on the location of established psychopathology scales in HiTOP, identifying pure markers and blends of HiTOP spectra, as well as pure markers of the p factor (i.e., scales assessing mentalizing impairment and suspiciousness/epistemic mistrust).
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Affiliation(s)
- Leon P Wendt
- Department of Psychology, University of Kassel, Kassel, Germany
| | | | | | | | - Tobias Nolte
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK.,Anna Freud National Centre for Children and Families, London, UK
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, London, UK.,Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK.,Fralin Biomedical Research Institute, Department of Psychology, Virginia Tech, Roanoke, Virginia, USA
| | | | - Gabriel Olaru
- Department of Developmental Psychology, Tilburg University, Tilburg, Netherlands
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Conceptualization of Alcohol Use Disorder (AUD): Can Theoretical or Data Driven Approaches Improve the Construct Validity of AUD? Res Child Adolesc Psychopathol 2022; 50:1605-1618. [DOI: 10.1007/s10802-022-00965-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 11/26/2022]
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Howe LK, Bailey AJ, Ingram PF, Finn PR. An exploration of multivariate symptom clusters of cannabis use disorder in young adults. Addict Behav 2022; 135:107465. [PMID: 35995015 DOI: 10.1016/j.addbeh.2022.107465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/01/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022]
Abstract
AIMS Since the release of the DSM-V, CUD has been understood as a unidimensional construct. However, continued research has identified separate symptom clusters relating to consumption, loss of control, and withdrawal within substance use disorder criteria that may pose separate risk factors and functional difficulties. The current study aims to examine how symptom clusters commonly manifest in young adults that use cannabis using a latent class analysis (LCA) and explore how these clusters are related to co-occurring psychological constructs. METHODS 1174 (aged 18-34) participants completed a battery of assessments on substance use and other psychological constructs. LCA was conducted on 17 symptoms corresponding with DSM-V CUD criteria. Multinomial regressions were used to examine class membership and commonly co-occurring psychopathology and psychological constructs. RESULTS LCA results identified a 'No problems' class, a 'Moderate consumption' class characterized by moderate probability of endorsing consumption items, a 'Consumption with Moderate Loss of Control' class, characterized by endorsing consumption and loss of control items but minimal endorsement of withdrawal items, a 'Consumption with Moderate Withdrawal' class characterized by moderate probability of endorsing all item types, and 'High Consumption, Loss of Control, Withdrawal' class characterized by high probability of endorsing all items. Multinomial regressions indicated some class differences in psychological constructs. CONCLUSIONS Symptom clusters differed in terms of CUD criteria, especially for those in our sample with moderate/severe problems. Findings suggest intervention efforts may benefit from treatment targeted at various presentations of CUD.
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Affiliation(s)
- Lindy K Howe
- Department of Psychological & Brain Sciences, Indiana University Bloomington, IN 47405, USA.
| | - Allen J Bailey
- Department of Psychological & Brain Sciences, Indiana University Bloomington, IN 47405, USA
| | - Polly F Ingram
- Department of Psychological & Brain Sciences, Indiana University Bloomington, IN 47405, USA
| | - Peter R Finn
- Department of Psychological & Brain Sciences, Indiana University Bloomington, IN 47405, USA
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Bailey AJ, Ingram PF, Howe LK, Finn PR. Is lower severity alcohol use disorder qualitatively different than more severe manifestations? An evaluation of multivariate symptom clusters. Addiction 2022; 117:1598-1608. [PMID: 34935218 PMCID: PMC9081272 DOI: 10.1111/add.15785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 12/01/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Alcohol use disorder (AUD), since the release of DSM-V, is conceptualized and studied as a unidimensional construct. However, previous research has identified clusters of AUD symptoms related to excessive consumption/tolerance, loss of control/social dysfunction and withdrawal/craving that have shown differential genetic risks, personality associations and predictive ability. Although past 'variable-centered' (e.g. factor-analytic) studies have demonstrated the importance of these clusters, the current study aimed to examine how these clusters commonly manifest using a 'person-centered' approach (e.g. latent class). DESIGN Cross-sectional in-person assessment. SETTING Indiana, USA. PARTICIPANTS A convenience sample of 1390 young adults (mean age = 21.43, SD = 2.47) recruited for an over-representation of alcohol problems (65% with AUD). MEASUREMENTS Latent class analysis (LCA) was conducted on 23 criteria from the Semi-Structured Interview on the Genetics of Alcoholism (SSAGA) that align with DSM-V AUD symptoms. Identified latent classes were characterized using multinomial regressions to examine the association of class and measures of alcohol use, other externalizing psychopathology, internalizing problems and personality. FINDINGS LCA results identified a 'Low Problems' class (34% of sample), a 'Heavy Consumption' class (26%) characterized by high endorsement probabilities of essentially only consumption/tolerance symptoms, a 'Consumption and Loss of Control' class (31%) characterized by endorsing consumption/tolerance and loss of control/social dysfunction symptoms, and finally a 'Consumption, Loss of Control and Withdrawal' class (9%) characterized by high endorsement probabilities of all symptom clusters. Multinomial regression results indicated an increasing spectrum of severity in terms of psychological impairment. CONCLUSIONS AUD appears to manifest as different clusters of symptoms at different severity levels.
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Affiliation(s)
- Allen J Bailey
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - Polly F Ingram
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - Lindy K Howe
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - Peter R Finn
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
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Slade T, Mewton L, O'Dean S, Tibbetts J, Clay P, Isik A, Johnson P, McCraw S, Upton E, Kypri K, Butterworth P, McBride N, Swift W. DSM-5 and ICD-11 alcohol use disorder criteria in young adult regular drinkers: Lifetime prevalence and age of onset. Drug Alcohol Depend 2021; 229:109184. [PMID: 34813987 DOI: 10.1016/j.drugalcdep.2021.109184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/28/2021] [Accepted: 10/31/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Alcohol Use Disorder (AUD) is a significant contributor to global disease burden. AUD has a relatively early onset during young adulthood (Teesson et al., 2010). However, compared to AUD in adults, we have relatively little understanding of AUD in adolescents and emerging adults. METHODS The RADAR study is a prospective cohort study designed to investigate the emergence of AUD in community-dwelling adolescents and emerging adults across Australia (age range = 18-21 at baseline). At 6 monthly intervals over 2.5 years, participants were interviewed regarding alcohol consumption and alcohol use disorder criteria by clinical psychologists using the SCID-IV-RV. This paper reports the baseline findings of the RADAR cohort. RESULTS Proportions of lifetime criteria endorsement among regular drinkers varied considerably. Tolerance was the most endorsed criterion (50.3%), followed by Social Problems (10.4%) and Larger/Longer (9.0%). The median age of onset for most individual AUD criteria was 18 years of age. 18.4% of our cohort met DSM-5 AUD diagnosis in their lifetime to date, and 16.8% met ICD-11 dependence. When removing Tolerance from the AUD criteria, DSM-5 AUD lifetime prevalence reduced to 11.0%, and ICD-11 AUD lifetime prevalence fell to 7.1% in our cohort. CONCLUSIONS Variable rates of criteria endorsement likely reflect both true differences in the experience of AUD criteria and methodological challenges in the assessment of AUD in an emerging adult age group. High rates of tolerance to the effects of alcohol, and relatively low rates of drinking larger/longer than intended are discussed considering methodological challenges in assessing these criteria in young adults.
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Affiliation(s)
- Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia.
| | - Louise Mewton
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Siobhan O'Dean
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Joel Tibbetts
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Peter Clay
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Ashling Isik
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Phoebe Johnson
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Stacey McCraw
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Emily Upton
- National Drug and Alcohol Research Centre, UNSW, Sydney, Australia
| | - Kypros Kypri
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
| | - Peter Butterworth
- Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - Nyanda McBride
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Wendy Swift
- AW Morrow Gastroenterology and Liver Centre, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
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Boness CL, Watts AL, Moeller KN, Sher KJ. The Etiologic, Theory-Based, Ontogenetic Hierarchical Framework of Alcohol Use Disorder: A Translational Systematic Review of Reviews. Psychol Bull 2021; 147:1075-1123. [PMID: 35295672 PMCID: PMC8923643 DOI: 10.1037/bul0000333] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Modern nosologies (e.g., ICD-11, DSM-5) for alcohol use disorder (AUD) and dependence prioritize reliability and clinical presentation over etiology, resulting in a diagnosis that is not always strongly grounded in basic theory and research. Within these nosologies, DSM-5 AUD is treated as a discrete, largely categorical, but graded, phenomenon, which results in additional challenges (e.g., significant phenotypic heterogeneity). Efforts to increase the compatibility between AUD diagnosis and modern conceptualizations of alcohol dependence, which describe it as dimensional and partially overlapping with other psychopathology (e.g., other substance use disorders) will inspire a stronger scientific framework and strengthen AUD's validity. We conducted a systematic review of 144 reviews to integrate addiction constructs and theories into a comprehensive framework with the aim of identifying fundamental mechanisms implicated in AUD. The product of this effort was the Etiologic, Theory-Based, Ontogenetic Hierarchical Framework (ETOH Framework) of AUD mechanisms, which outlines superdomains of cognitive control, reward, as well as negative valence and emotionality, each of which subsume narrower, hierarchically-organized components. We also outline opponent processes and self-awareness as key moderators of AUD mechanisms. In contrast with other frameworks, we recommend an increased conceptual role for negative valence and compulsion in AUD. The ETOH framework serves as a critical step towards conceptualizations of AUD as dimensional and heterogeneous. It has the potential to improve AUD assessment and aid in the development of evidence-based diagnostic measures that focus on key mechanisms in AUD, consequently facilitating treatment matching.
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Affiliation(s)
| | - Ashley L Watts
- Department of Psychological Science, University of Missouri
| | | | - Kenneth J Sher
- Department of Psychological Science, University of Missouri
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