Determining Smoking Cessation Related Information, Motivation, and Behavioral Skills among Opiate Dependent Smokers in Methadone Treatment

Commentary With Study Protocol: Implementation and Effectiveness of Mindfulness-Oriented Recovery Enhancement (MORE) as an Adjunct to Methadone Treatment for Opioid Use Disorder (IMPOWR-MORE)

Traditional methadone treatment (MT) for opioid use disorder (OUD) fails to systematically address the physical pain, emotion dysregulation, and reward processing deficits that co-occur with OUD, and novel interventions that address these issues are needed to improve MT outcomes. Mindfulness-Oriented Recovery Enhancement (MORE) remediates the hedonic dysregulation in brain reward systems that is associated with OUD. Our pilot and phase 2 randomized controlled trials of MORE were the first to demonstrate MORE's feasibility, acceptability, and efficacy as delivered in MT clinics; MORE significantly reduced drug use (eg, benzodiazepines, barbiturates, cocaine, marijuana, opioids, and other drugs), craving, depression, anxiety, and pain among people with OUD. However, uptake of novel, efficacious interventions like MORE may be slow in MT because time and resources are often limited. Therefore, to best address potential implementation issues and to optimize future MORE implementation and dissemination, in this study, we will utilize a Type 2, Hybrid Implementation-Effectiveness study design. We will not only evaluate MORE's effectiveness but also assess barriers and facilitators to integrating MORE into MT. MT clinicians will receive training in (1) a higher intensity MORE implementation strategy consisting of training in the full MORE treatment manual or (2) a minimal intensity implementation strategy consisting of a simple, scripted mindfulness practice (SMP) extracted from the MORE treatment manual with minimal training. We aim to: (1) using a Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, examine barriers and facilitators to implementation of MORE and SMP in MT, and evaluate strategies for optimizing training, fidelity, and engagement, (2) optimize existing MORE and SMP training and implementation toolkits, including adaptable resources that can accelerate the translation of evidence into practice, and (3) compared to usual MT, evaluate the relative effectiveness of MORE plus MT or SMP plus MT (N = 450).

Telehealth Mindfulness-Oriented Recovery Enhancement vs Usual Care in Individuals With Opioid Use Disorder and Pain: A Randomized Clinical Trial

Importance

Methadone treatment (MT) fails to address the emotion dysregulation, pain, and reward processing deficits that often drive opioid use disorder (OUD). New interventions are needed to address these factors.

Objective

To evaluate the efficacy of MT as usual (usual care) vs telehealth Mindfulness-Oriented Recovery Enhancement (MORE) plus usual care among people with an OUD and pain.

Design, Setting, and Participants

This study was a randomized clinical trial conducted from August 2020 to June 2022. Participants receiving MT for OUD and experiencing chronic pain were recruited at 5 clinics in New Jersey.

Interventions

In usual care, participants received MT, including medication and counseling. Participants receiving MORE plus usual care attended 8 weekly, 2-hour telehealth groups that provided training in mindfulness, reappraisal, and savoring in addition to usual care.

Main Outcomes and Measure

Primary outcomes were return to drug use and MT dropout over 16 weeks. Secondary outcomes were days of drug use, methadone adherence, pain, depression, and anxiety. Analyses were based on an intention-to-treat approach.

Results

A total of 154 participants (mean [SD] age, 48.5 [11.8] years; 88 female [57%]) were included in the study. Participants receiving MORE plus usual care had significantly less return to drug use (hazard ratio [HR], 0.58; 95% CI, 0.37-0.90; P = .02) and MT dropout (HR, 0.41; 95% CI, 0.18-0.96; P = .04) than those receiving usual care only after adjusting for a priori-specified covariates (eg, methadone dose and recent drug use, at baseline). A total of 44 participants (57.1%) in usual care and 39 participants (50.6%) in MORE plus usual care returned to drug use. A total of 17 participants (22.1%) in usual care and 10 participants (13.0%) in MORE plus usual care dropped out of MT. In zero-inflated models, participants receiving MORE plus usual care had significantly fewer days of any drug use (ratio of means = 0.58; 95% CI, 0.53-0.63; P < .001) than those receiving usual care only through 16 weeks. A significantly greater percentage of participants receiving MORE plus usual care maintained methadone adherence (64 of 67 [95.5%]) at the 16-week follow-up than those receiving usual care only (56 of 67 [83.6%]; χ2 = 4.49; P = .04). MORE reduced depression scores and ecological momentary assessments of pain through the 16-week follow-up to a significantly greater extent than usual care (group × time F2,272 = 3.13; P = .05 and group × time F16,13000 = 6.44; P < .001, respectively). Within the MORE plus usual care group, EMA pain ratings decreased from a mean (SD) of 5.79 (0.29) at baseline to 5.17 (0.30) at week 16; for usual care only, pain decreased from 5.19 (0.28) at baseline to 4.96 (0.29) at week 16. Within the MORE plus usual care group, mean (SD) depression scores were 22.52 (1.32) at baseline and 18.98 (1.38) at 16 weeks. In the usual care-only group, mean (SD) depression scores were 22.65 (1.25) at baseline and 20.03 (1.27) at 16 weeks. Although anxiety scores increased in the usual care-only group and decreased in the MORE group, this difference between groups did not reach significance (group × time unadjusted F2,272 = 2.10; P= .12; Cohen d = .44; adjusted F2,268 = 2.33; P = .09). Within the MORE plus usual care group, mean (SD) anxiety scores were 25.5 (1.60) at baseline and 23.45 (1.73) at 16 weeks. In the usual care-only group, mean (SD) anxiety scores were 23.27 (1.75) at baseline and 24.07 (1.73) at 16 weeks.

Conclusions and Relevance

This randomized clinical trial demonstrated that telehealth MORE was a feasible adjunct to MT with significant effects on drug use, pain, depression, treatment retention, and adherence.

Trial Registration

ClinicalTrials.gov Identifier: NCT04491968.

Longitudinal associations between age 20 problematic substance use and opioid use disorder incidence at age 30 - findings from an urban cohort

This study used data from a longitudinal prevention study in an urban cohort to examine associations between nicotine dependence, alcohol, and cannabis use disorder and disorder criteria at age 20, with opioid use disorder (OUD) incidence or criteria onset by age 30. The study sample included 1408 participants (57.5% female, 72.5% African American) drawn from two cohorts of participants in a mid-Atlantic region of the U.S. as part of a series of randomized controlled trials of elementary school-based universal prevention interventions. Lifetime cannabis use disorder (CUD), alcohol use disorder (AUD; both DSM-IV), and current nicotine dependence (Fagerstrom Test for Nicotine Dependence, FTND) assessed at age 20 were used to predict (1) DSM-IV lifetime OUD at age 30, and (2) OUD criteria between ages 20 and 30 in multivariable logistic regression models. Covariates for all analyses included sociodemographics (sex, race, and free/reduced-priced lunch status), community disadvantage, and intervention status. Nicotine dependence (FTND≥3) at age 20 predicted age 30 DSM-IV lifetime OUD (aOR = 2.37; 95% CI 1.02,5.54). The number of CUD criteria (aOR = 1.30; 95% CI 1.09,1.57) and nicotine dependence severity scores (aOR = 1.22; 95% CI = 1.05,1.41) at age 20 predicted any OUD criteria between the ages of 20 and 30. Findings are consistent with previous research on opioid use behavior in young adulthood and suggest that nicotine dependence and CUD criteria among urban young people predict onset of OUD and OUD criteria in young adulthood.

The Information-Motivation-Behavioral Skills Model and Unprotected Sex: Assessing the Model's Utility and Predictability Among Bar Patrons in Tshwane, South Africa

The Information-Motivation-Behavioral skills (IMB) model has been a useful tool for understanding sexual risk behavior. However, its utility in predicting sexual risk behaviors among bar patrons, for whom the bar setting poses a higher risk of alcohol-related sexual risk behavior, has been underexplored. We assessed (1) the extent to which the IMB predicted number of episodes of unprotected sex in the past six months and (2) whether incorporating sex under the influence of alcohol and alcohol use improved the predictability of the model among bar patrons. Hierarchical regression models were conducted on data from 406 men and women from bars in rural areas of North-West province, South Africa. Behavioral skills were the sole IMB variable to predict unprotected sex with main partners (β = - 0.40; p < .001), explaining 18% of the variance. Variance explained increased to 21% with addition of sex under the influence of alcohol (β = 0.13; p = .019) and further increased to 26% with the addition of alcohol use (β = 0.24; p < .001). Motivation (β = - 0.21; p = .006) and behavioral skills (β = - 0.21; p = .006) were the significant IMB predictors of unprotected sex with casual partners (explaining 15% of the variance). Variance explained increased to 22% with the addition of sex under the influence of alcohol (β = 0.26; p = .001), but alcohol consumption was not an independent predictor of episodes of unprotected sex with casual partners. Interventions for improving HIV prevention behaviors among bar patrons should focus on enhancing individuals' behavioral skills and motivation and reducing their alcohol consumption.

A pilot randomized clinical trial of mindfulness-oriented recovery enhancement as an adjunct to methadone treatment for people with opioid use disorder and chronic pain: Impact on illicit drug use, health, and well-being

BACKGROUND

Chronic pain is highly prevalent among people in methadone maintenance treatment (MMT) for opioid use disorder and is known to be an important contributor to treatment discontinuation and opioid relapse. Mindfulness-Oriented Recovery Enhancement (MORE) is one of the few interventions developed and tested as an integrated treatment to simultaneously address both pain and illicit opioid use; however, this study is the first to evaluate MORE as an adjunct to MMT.

METHODS

Randomized individuals in MMT (N = 30) received MORE plus methadone TAU (n = 15) or methadone TAU, only (n = 15). Participants in the MORE arm received their MMT, as usual, and attended eight, weekly, two-hour MORE groups at their MMT clinics. Participants in the TAU arm received their MMT, as usual, and group or individual counseling, as required by the clinic. TAU counseling consisted of relapse prevention, cognitive-behavioral therapy, and supportive treatment. TAU participants did not receive any mindfulness-based intervention. Participants completed assessments at baseline, post-treatment (i.e., 8-weeks post-baseline), and follow-up (i.e., 16-weeks post-baseline).

RESULTS

Participants in MORE evidenced significantly fewer baseline adjusted days of illicit drug use and significantly lower levels of craving through 16-week follow-up compared to TAU. Also, Participants in MORE reported significantly lower levels of pain, physical and emotional limitations, depression, and anxiety through 16-week follow-up compared to TAU. Conversely, participants in MORE reported significantly higher levels of well-being, vitality, and social functioning through 16-week follow-up compared to TAU.

CONCLUSION

MORE could be an effective adjunct to MMT, and larger trials are warranted.

Using greenspace and nature exposure as an adjunctive treatment for opioid and substance use disorders: Preliminary evidence and potential mechanisms

The demand for opioid medication to effectively treat pain has contributed to the surging opioid crisis, which is a major source of morbidity and mortality in the U.S. More than 100,000 people begin opioid maintenance treatment (OMT) annually, the standard pharmacotherapy for opioid use disorder (OUD). Although OMT is the standard care for OUD, patients often experience or develop a heightened sensitivity to pain (hyperalgesia) as a result of the opioid medication, and also have high rates of stress, affective, and anxiety-related conditions. These conditions are interactive with other behavioral and environmental correlates of opioid and other substance use disorders including impulsive decision-making (e.g., harmful opioid use associated with increased delay discounting), and a lack of alternative (i.e., substance-free) and social reinforcement. Collectively these complex and multifaceted factors constitute significant predictors of lack of adherence to OMT (and other pharmacotherapies) and relapse. There is an urgent need, therefore, to develop novel adjunctive treatments that preserve the benefits of OMT and various pharmacotherapies, and simultaneously diminish continued pain and hyperalgesia, reduce stress and anxiety-related conditions, target relevant behavioral mechanism such as impulsive choice, and also serve to enhance the value of alternative and substance free activities. Here, we discuss evidence that an environmental manipulation - access to greenspace and nature - could serve as a potential adjunctive treatment to standard pharmacotherapies by targeting multiple biological and behavioral mechanisms that standard pharmacotherapies do not address.

Reciprocal influences of tobacco use on illicit opioid and alcohol use during the first six-months of specialist addiction treatment

BACKGROUND

This is the first national study of lagged reciprocal associations between tobacco smoking frequency and change in illicit opioid or alcohol use frequency within six-months of treatment.

METHODS

All adults admitted to publicly-funded specialist addiction treatment in England in 2018/19 and enrolled for at least six months for either opioid use disorder (OUD; n = 22,046; 82.4 % of those eligible) or alcohol use disorder (AUD; n = 15,251; 78.8 % of those eligible). Two cross-lagged panel models estimated, separately for OUD and AUD patients, the relationships between smoking at admission and change in main drug over six months, and between main drug use at admission and change in smoking over six months.

RESULTS

Within the OUD cohort, illicit opioid use frequency reduced from 17.7 days to 8.0 days and smoking tobacco remained at 18.8 days. After controlling for available covariates, higher smoking frequency at admission was associated with a relative increase in illicit opioid use at six-months (0.02 days [95 % CI 0.00-0.03]). Within the AUD cohort, alcohol use frequency reduced from 21.2 days to 14.4 days while smoking tobacco reduced from 12.6 days to 11.5 days. Higher smoking frequency at admission was associated with a relative increase in alcohol use at six-months (0.03 days [95 % CI 0.02-0.04]) and higher alcohol use frequency at admission was associated with a relative increase in smoking at six-months (0.04 [95 % CI 0.02-0.06]), controlling for available covariates.

CONCLUSIONS

Higher smoking frequency at admission is associated with higher illicit opioid and alcohol use frequency after six-months of specialist addiction treatment.

Opioid Use Disorder Trends from 2002 to 2017 by Cigarette Smoking Status in the United States

Introduction

There have been significant increases in opioid use and opioid-related overdose deaths in the United States (US). While cigarette smoking remains disproportionately high among individuals with opioid use disorder (OUD), it is unknown whether trends in OUD differ by cigarette use. This study examined differences in OUD by smoking status and trends in OUD by smoking status over time.

Methods

Data were harnessed from US National Surveys on Drug Use and Health, annual cross-sectional, nationally representative samples of individuals aged 12 and older. Past-year OUD prevalences were estimated each year from 2002 to 2017 among persons with current daily, current nondaily, former, and never cigarette smoking (n = 891 548). Linear time trends of OUD were examined using logistic regression models.

Results

In 2017, OUD was significantly more common among persons with daily (2.6%) and nondaily (1.5%) smoking compared with those with former (0.5%) or never (0.2%) smoking. Overall, the prevalence of OUD increased between 2002 and 2017, although trends differed by smoking status. Adjusting for background characteristics, the prevalence of OUD increased significantly among individuals with daily (adjusted odds ratio [AOR] = 1.06; 95% confidence interval [CI]: 1.04, 1.07), nondaily (AOR = 1.03; 95% CI: 1.01, 1.05), and former smoking (AOR = 1.05; 95% CI: 1.02, 1.09), but decreased among those who never smoked (AOR = 0.98; 95% CI: 0.97, 0.99).

Conclusions

In the United States, the prevalence of OUD was higher among individuals with current cigarette smoking relative to those with former and never smoking. OUD increased among persons with current and former smoking from 2002 to 2017, in contrast to a decrease in OUD among those who never smoked.

Implications

OUDs are increasing in the United States and are associated with difficulty quitting cigarettes. Our data from representative national samples of US individuals showed that although OUD increased among those with both current and former smoking over time, OUD remained significantly higher among persons with current (daily and nondaily) smoking versus persons who formerly smoked cigarettes. In addition, youth with cigarette smoking had particularly high prevalences of OUDs. Cigarette smoking may be important to address alongside OUD to reduce the harmful consequences of OUD and cigarette use especially among younger individuals.

Considering Systemic Barriers to Treating Tobacco Use in Clinical Settings in the United States

The Comorbidity Workgroup of the Tobacco Treatment Research Network, within the Society for Research on Nicotine and Tobacco, previously highlighted the need to provide tobacco treatment to patients diagnosed with comorbid physical and mental health conditions. Yet, systemic barriers in the United States health care system prevent many patients who present for medical treatment from getting the evidence-based tobacco treatment that they need. The identified barriers include insufficient training in the epidemiologic impact of tobacco use, related disorders, and pharmacological and behavioral treatment approaches; misunderstanding among clinicians about the effectiveness of tobacco treatment; lack of therapeutic support from clinical staff; insufficient use of health information technology to improve tobacco use identification and treatment; and limited time and reimbursement for clinicians to provide treatment. We highlight three vignettes demonstrating the complexities of practical barriers at the health care system level. We consider each of the barriers in turn and discuss evidence-based strategies that could be implemented in the clinical care of patients with comorbid conditions. In addition, in the absence of compelling data to guide implementation approaches, we offer suggestions for potential strategies and avenues for future research. Implications: Three vignettes highlighted in this article illustrate some systemic barriers to providing tobacco treatment for patients being treated for comorbid conditions. We explore the barriers to tobacco treatment and offer suggestions for changes in training, health care systems, clinical workflow, and payment systems that could enhance the reach and the quality of tobacco treatment within the US health care system.

Pilot Study of a Tailored Smoking Cessation Intervention for Individuals in Treatment for Opioid Dependence

Introduction

Over 85% of opioid-dependent individuals in methadone treatment smoke cigarettes; however, smoking cessation interventions are minimally effective in this population. To better help opioid-dependent individuals quit smoking, we developed and pilot-tested an intervention, based in the Information-Motivation-Behavioral Skills (IMB) model of behavior change, which could be tailored to address individual barriers to smoking cessation in this population.

Methods

We randomized participants (n = 83) in methadone treatment to the eight-session, IMB model-based, intervention plus nicotine replacement therapy (intervention, n = 41) or a facilitated referral to the state Quitline (control, n = 42). All participants completed assessments at baseline, 3 months, and 6 months.

Results

Intervention participants completed a median of five sessions (interquartile range [IQR] 3-8) and had significantly higher intervention satisfaction than control participants. Intervention participants reported smoking significantly fewer cigarettes per day at 3 months (median [IQR] = 6 [4-15]) and 6 months (median [IQR] = 8 [4-14]) as compared control participants at 3 months (median [IQR] = 10 [5-20]) and 6 months (median [IQR] = 10 [6-20]). Fifty-six percent of the intervention group and 41% of the control group a made a quit attempt during the study (p = .16). At 3 months, 7% (n = 3) of intervention participants and none of the control participants were abstinent from smoking (p = .23). At 6 months, 2% of participants in both groups were abstinent. Twenty-four percent and 10% of the intervention and control group participants, respectively, reported 20 or more smoke-free days (p = .43).

Conclusions

An IMB model-based smoking cessation intervention for opioid-dependent smokers is feasible and acceptable in methadone treatment and may help methadone maintained smokers cut down on their smoking.

Implications

This is the first study of a tailored, IMB Model-based, smoking cessation intervention for opioid dependent smokers. Results showed that opioid dependent smokers are willing and able to participate in an IMB model-based smoking cessation intervention, and this intervention may help this population cut down on their smoking. Also, the Quitline seems less feasible and acceptable for this population than a face-to-face intervention. Further research is needed to determine how to integrate smoking cessation treatment into methadone programs and how to improve interventions so that treatment gains can lead to long-term abstinence in this population.

Efficacy and Outcomes of a Music-Based Emotion Regulation Mobile App in Distressed Young People: Randomized Controlled Trial

Background

Emotion dysregulation increases the risk of depression, anxiety, and substance use disorders. Music can help regulate emotions, and mobile phones provide constant access to it. The Music eScape mobile app teaches young people how to identify and manage emotions using music.

Objective

This study aimed to examine the effects of using Music eScape on emotion regulation, distress, and well-being at 1, 2, 3, and 6 months. Moderators of outcomes and user ratings of app quality were also examined.

Methods

A randomized controlled trial compared immediate versus 1-month delayed access to Music eScape in 169 young people (aged 16 to 25 years) with at least mild levels of mental distress (Kessler 10 score>17).

Results

No significant differences between immediate and delayed groups on emotion regulation, distress, or well-being were found at 1 month. Both groups achieved significant improvements in 5 of the 6 emotion regulation skills, mental distress, and well-being at 2, 3, and 6 months. Unhealthy music use moderated improvements on 3 emotion regulation skills. Users gave the app a high mean quality rating (mean 3.8 [SD 0.6]) out of 5.

Conclusions

Music eScape has the potential to provide a highly accessible way of improving young people’s emotion regulation skills, but further testing is required to determine its efficacy. Targeting unhealthy music use in distressed young people may improve their emotion regulation skills.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12615000051549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365974

Expectations about alcohol, cocaine, and benzodiazepine abstinence following inpatient heroin withdrawal management

BACKGROUND AND OBJECTIVES

Polysubstance use is associated with relapse and poor treatment outcomes among people dependent on heroin. Despite the high prevalence of polysubstance use among patients detoxifying from heroin, little is known about patients' expectations to abstain or use non-opiate substances. The current study examined factors associated with expectations about abstaining from alcohol, cocaine, and benzodiazepines (BZDs) following heroin withdrawal management.

METHODS

Between May and December of 2015, we surveyed 417 patients (71.9% male, 31.7 [±8.39] mean years old) initiating short-term inpatient heroin withdrawal management who reported alcohol, cocaine, or BZD use in the past 30 days. We used logistic regression to evaluate the adjusted associations of background characteristics with expectations about using each substance following discharge.

RESULTS

Approximately half of respondents reported past month alcohol (52%), cocaine (47.0%), or BZD (47.0%) use, and 25.9% reported using all three substances. Approximately half of those reporting drinking, 6.6% reporting cocaine use, and 27% of reporting BZD use expected to abstain from using that substance following heroin withdrawal. Prior opioid withdrawal was associated with a lower likelihood of expecting to stop using alcohol and BZDs, and more days of BZD use was associated with a greater likelihood of expecting to abstain from BZDs following discharge.

CONCLUSION

Persons with opioid use disorder often do not expect to stop using other substances following withdrawal management, with very few planning cocaine cessation.

SCIENTIFIC SIGNIFICANCE

Inpatient heroin withdrawal programs need to address and educate patients about how polysubstance use complicates recovery from heroin use. (Am J Addict 2019;28:36-42).

The association between nicotine dependence and physical health among people receiving injectable diacetylmorphine or hydromorphone for the treatment of chronic opioid use disorder

INTRODUCTION

People with chronic opioid use disorder often present to treatment with individual and structural vulnerabilities and remain at risk of reporting adverse health outcomes. This risk is greatly compounded by tobacco smoking, which is highly prevalent among people with chronic opioid use disorder. Despite the known burden of tobacco smoking on health, the relationship between nicotine dependence and health has not been studied among those receiving injectable opioid agonist treatment. As such, the present study aims to explore the association between nicotine dependence and physical health among participants of the Study to Assess Longer-Term Opioid Medication Effectiveness (SALOME) at baseline and six-months.

METHODS

SALOME was a double-blind phase III clinical trial testing the non-inferiority of injectable hydromorphone to injectable diacetylmorphine for chronic opioid use disorder. Participants reporting tobacco smoking were included in a linear regression analysis of physical health at baseline (before receiving treatment) and at six-months.

RESULTS

At baseline, nicotine dependence score, lifetime history of emotional, physical, or sexual abuse and prior month safe injection site access were independently and significantly associated with physical health. At six-months nicotine dependence score was the only variable that maintained this significant and independent association with physical health.

CONCLUSIONS

Findings indicate that after six-months, the injectable treatment effectively brought equity to patients' physical health status, yet the association with nicotine dependence remained. Findings could inform whether the provision of treatment for nicotine dependence should be made a priority in settings where injectable opioid agonist treatment is delivered to achieve improvements in overall physical health in this population.

Efficacy and outcomes of a mobile app targeting alcohol use in young people

Mobile apps provide a highly accessible way of reducing alcohol use in young people. This paper determines the 1-month efficacy and 2, 3 and 6month outcomes of the Ray's Night Out app, which aims to increase alcohol knowledge and reduce alcohol use in young people. User-experience design and agile development processes, informed by the Information-Motivation-Behavioral skills model and evidence-based motivational interviewing treatment approaches guided app development. A randomized controlled trial comparing immediate versus 1-month delayed access to the app was conducted in 197 young people (16 to 25years) who drank alcohol in the previous month. Participants were assessed at baseline, 1, 2, 3 and 6months. Alcohol knowledge, alcohol use and related harms and the severity of problematic drinking were assessed. App quality was evaluated after 1-month of app use. Participants in the immediate access group achieved a significantly greater increase in alcohol knowledge than the delayed access group at 1-month, but no differences in alcohol use or related problems were found. Both groups achieved significant reductions in the typical number of drinks on a drinking occasion over time. A reduction in maximum drinks consumed was also found at 1month. These reductions were most likely to occur in males and problem drinkers. Reductions in alcohol-related harm were also found. The app received a high mean quality (M=3.82/5, SD=0.51). The Ray app provides a youth-friendly and easily-accessible way of increasing young people's alcohol knowledge but further testing is required to determine its impact on alcohol use and related problems.

Smoking cessation for substance misusers: A systematic review of qualitative studies on participant and provider beliefs and perceptions

INTRODUCTION

Smoking prevalence among those in substance misuse treatment remains much higher than the general population, despite evidence for effective cessation interventions that do not negatively impact substance misuse outcomes. This systematic review summarises qualitative data on barriers and facilitators to smoking cessation for people in substance misuse treatment, participants' and providers' perceptions about effects of smoking cessation on substance misuse treatment, timing of intervention delivery and aspects of interventions perceived to be effective.

METHODS

Systematic review of qualitative studies and thematic synthesis of published qualitative data.

RESULTS

10939 records and 132 full texts were screened. 22 papers reporting on 21 studies were included. Key themes identified were: strong relationships between smoking and other substance misuse; environmental influences; motivation; mental health; aspects of interventions perceived to be effective/ineffective; barriers and facilitators to intervention implementation; smoking bans/restrictions; and relationships with professionals. Many service users were motivated toward smoking cessation but were not offered support. Some felt interventions should be delivered after substance misuse treatment, whilst others felt concurrent/dual interventions would be beneficial, due to strong associations between smoking and other substances. Treatment providers felt they lacked training and resources for supporting smoking cessation, and were concerned about impact on substance misuse outcomes.

CONCLUSIONS

Many substance misusers who also smoke are motivated to quit but perceive a lack of support from professionals. Additional training and resources are required to enable professionals to provide the support needed. More research is required to develop enhanced packages of care for this deprived group of smokers.

Clinical Effects of Cigarette Smoking: Epidemiologic Impact and Review of Pharmacotherapy Options

Cigarette smoking-a crucial modifiable risk factor for organ system diseases and cancer-remains prevalent in the United States and globally. In this literature review, we aim to summarize the epidemiology of cigarette smoking and tobacco use in the United States, pharmacology of nicotine-the active constituent of tobacco, and health consequence of cigarette smoking. This article also reviews behavioral and pharmacologic interventions for cigarette smokers and provides cost estimates for approved pharmacologic interventions in the United States. A literature search was conducted on Google Scholar, EBSCOhost, ClinicalKey, and PubMed databases using the following headings in combination or separately: cigarette smoking, tobacco smoking, epidemiology in the United States, health consequences of cigarette smoking, pharmacologic therapy for cigarette smoking, and non-pharmacologic therapy for cigarette smoking. This review found that efficacious non-pharmacologic interventions and pharmacologic therapy are available for cessation of cigarette smoking. Given the availability of efficacious interventions for cigarette smoking cessation, concerted efforts should be made by healthcare providers and public health professionals to promote smoking cessation as a valuable approach for reducing non-smokers' exposure to environmental tobacco smoke.

Influence of Psychiatric and Personality Disorders on Smoking Cessation Among Individuals in Opiate Dependence Treatment

OBJECTIVE

We aimed to evaluate how psychiatric and personality disorders influence smoking cessation goals and attempts among people with opiate dependence who smoke. This information could aid the development of more effective cessation interventions for these individuals.

METHODS

Participants (N = 116) were recruited from two methadone clinics, completed the Millon Clinical Multiaxial Inventory-III, and were asked about their smoking behavior and quitting goals. We used the Least Absolute Shrinkage and Selection Operator (LASSO) method, a technique commonly used for studies with small sample sizes and large number of predictors, to develop models predicting having a smoking cessation goal, among those currently smoking daily, and ever making a quit attempt, among those who ever smoked.

RESULTS

Almost all participants reported ever smoking (n = 115, 99%); 70% (n = 80) had made a serious quit attempt in the past; 89% (n = 103) reported current daily smoking; and 59% (n = 61) had a goal of quitting smoking and staying off cigarettes. Almost all (n = 112, 97%) had clinically significant characteristics of a psychiatric or personality disorder. White race, anxiety, and a negativistic personality facet (expressively resentful) were negative predictors of having a cessation goal. Overall, narcissistic personality pattern and a dependent personality facet (interpersonally submissive) were positive predictors of having a cessation goal. Somatoform disorder, overall borderline personality pattern, and a depressive personality facet (cognitively fatalistic) were negative predictors of ever making a quit attempt. Individual histrionic (gregarious self-image), antisocial (acting out mechanism), paranoid (expressively defensive), and sadistic (pernicious representations) personality disorder facets were positive predictors of ever making a quit attempt. Each model provided good discrimination for having a smoking cessation goal or not (C-statistic of .76, 95% CI [0.66, 0.85]) and ever making a quit attempt or not (C-statistic of .79, 95% CI [0.70, 0.88]).

CONCLUSIONS

Compared to existing treatments, smoking cessation treatments that can be tailored to address the individual needs of people with specific psychiatric disorders or personality disorder traits may better help those in opiate dependence treatment to set a cessation goal, attempt to quit, and eventually quit smoking.

Exploring Issues of Comorbid Conditions in People Who Smoke

Smoking affects comorbid disease outcomes, and patients with comorbid conditions may have unique characteristics that are important to consider when treating tobacco use. However, addressing tobacco in patients being treated for comorbid conditions is not a consistent practice. Recognizing the need for a "call-to-action" to address tobacco use in people with comorbid conditions, the Tobacco Treatment Network within the Society for Research on Nicotine and Tobacco (SRNT) convened a Comorbidities Workgroup to explore the relationship between smoking and comorbid disease to identify common themes including: the harms associated with continued tobacco use, the frequency of comorbid disease and tobacco use, the potential effect of comorbid disease on the ability to quit tobacco use, the association between tobacco use and suboptimal disease-specific treatment response, and evidence regarding potential approaches to improve addressing tobacco use in patients with comorbid disease. Five candidate conditions (psychiatric, cancer, cardiovascular, pulmonary, and human immunodeficiency virus infected patients) were explored. Across comorbid conditions, smoking adversely affects treatment efficacy and promotes other adverse health conditions. People with comorbid conditions who smoke are motivated to quit and respond to evidence-based smoking cessation treatments. However, tobacco cessation is not regularly incorporated into the clinical care of many individuals with comorbidities. Optimal strategies for addressing tobacco use within each comorbid disease are also not well defined. Further work is needed to disseminate evidence-based care into clinical practice for smokers with comorbid disease and addiction research should consider comorbid conditions as an important construct to explore.

IMPLICATIONS

This article explores how physical and psychiatric conditions may interact in the treatment of tobacco dependence, and discusses the need for smoking cessation as a critical component of comorbid condition management. Five common comorbid domains-psychiatric, cancer, pulmonary, cardiovascular, and human immunodeficiency virus (HIV)-are highlighted to illustrate how these different conditions might interact with smoking with respect to prevalence and harm, motivation to quit, and cessation treatment utilization and success.