Reward, relief, and habit drinking profiles in treatment seeking individuals with an AUD.

AIMS: This study aimed to compare reward, relief, and habit treatment-seeking individuals on recent drinking, alcohol use disorder (AUD) phenomenology, and mood. The second aim of the study was to evaluate the predictive validity of reward, relief, and habit profiles. METHOD: Treatment-seeking individuals with an AUD (n = 169) were recruited to participate in a medication trial for AUD (NCT03594435). Reward, relief, and habit drinking groups were assessed using the UCLA Reward Relief Habit Drinking Scale. Group differences at baseline were evaluated using univariate analyses of variance. A subset of participants were enrolled in a 12-week, double-blind, placebo-controlled medication trial (n = 102), and provided longitudinal drinking and phenomenology data. The predictive validity of group membership was assessed using linear regression analyses. RESULTS: At baseline, individuals who drink primarily for relief had higher craving and negative mood than those who drink for reward and habit. Prospectively, membership in the relief drinking group predicted greater alcohol use, greater heavy drinking, and fewer days abstinent compared to those in the reward drinking group. Membership in the relief drinking group also predicted greater alcohol craving, more alcohol-related consequences, and more anxiety symptoms over 12 weeks compared to those in the reward drinking group. CONCLUSIONS: This study provides support for reward and relief drinking motive profiles in treatment-seeking individuals with an AUD. Membership in the relief drinking motive group was predictive of poorer drinking outcomes and more negative symptomology over 12 weeks, indicating that individuals who drink for relief may be a particularly vulnerable sub-population of individuals with AUD.

Influence of sleep quality on lapse to alcohol use during a quit attempt.

AIMS: Sleep problems are common among individuals with alcohol use disorder (AUD) and is often associated with a heightened relapse risk. The present study examines the relationship between sleep and alcohol use among individuals with current AUD during a 6-day quit attempt as part of a medication study. METHODS: The current study is a secondary analysis of a medication trial for individuals with AUD. Individuals with AUD (N = 53, 26 females) were randomized to active medication or matched placebo. Randomized participants completed a week-long medication titration (Days 1-7). Following the titration period, participants attended an in-person visit (Day 8) to begin a 6-day quit attempt. During the quit attempt, participants completed daily diary assessments to report on previous day alcohol consumption, sleep quality, and alcohol craving. In the present study, medication condition was controlled for in all models. RESULTS: Baseline global sleep quality was not a significant predictor of drinks per drinking day (P = 0.72) or percent days abstinent (P = 0.16) during the 6-day practice quit attempt. Daily diary analyses found that greater sleep quality was associated with higher next-day drinks per drinking day (b = 0.198, P = 0.029). In contrast, participants reported worse sleep quality following nights of greater alcohol intake, albeit at a trend-level (b = -0.12, P = 0.053). CONCLUSIONS: These results suggest that better sleep quality was a risk factor for drinking during the 6-day quit period, such that better sleep may be associated with increased craving for alcohol and alcohol use the next day. These findings are limited to the early abstinence period and should be considered in studies exploring longer periods of abstinence.

A practice quit model to test early efficacy of medications for alcohol use disorder in a randomized clinical trial.

RATIONALE: Screening novel medications for alcohol use disorder (AUD) requires models that are both efficient and ecologically-valid. Ideally, such models would be associated with the outcomes of a given medication in clinical trials. OBJECTIVES: To test a novel human laboratory model in which individuals with intrinsic motivation to change their drinking engage in a "practice quit" attempt consisting of 6 days of complete abstinence from alcohol. METHOD: Individuals with current AUD completed a randomized, double-blind, placebo-controlled study of naltrexone (50 mg), varenicline (2 mg bid), or matched placebo. Participants were titrated onto the study medication for 1 week prior to starting the 6-day practice quit attempt. During the practice quit attempt, participants completed daily interviews with research staff. All participants completed an alcohol cue-exposure paradigm before starting the study medication and after 2 weeks of study medication. RESULTS: There were no significant medication effect on drinks per drinking day (F(2,49) = 0.66, p = 0.52) or percent days abstinent (F(2,49) = 0.14, p = 0.87) during the 6-day practice quit period. There were no medication effects on alcohol cue-reactivity (F(2,44) = 0.80, p = 0.46). Notably, participants sharply reduced their drinking during the entire 13-day medication treatment period, as compared to reducing only during the 6-day practice quit period. During the total medication period, higher levels of motivation to change was associated with higher percent days abstinent (F(1,49) = 8.12, p < 0.01). CONCLUSIONS: This study reports mostly null findings, which challenges us to decompose its nuanced design to consider model refinements. Possible changes to the model include considering the requirement for intrinsic motivation for change, including a longer practice quit period, encompassing the medication administration timeframe in the practice quit period, increasing the required sample size for signal detection, and examining a post COVID-19 pandemic cohort.

Testing pharmacotherapies for alcohol use disorder with cue exposure paradigms: A systematic review and quantitative synthesis of human laboratory trial methodology.

Alcohol cue exposure is a widely used experimental paradigm for screening pharmacotherapies for alcohol use disorder (AUD). Medication-related reductions in cue-reactivity signal early efficacy and inform medications development. Yet, across trials, the design of cue exposure, parameter testing, and outcome reporting is heterogeneous. This systematic review is a quantitative synthesis of trial methodologies and effect size estimation for AUD medication-related craving and psychophysiological outcomes under the cue exposure paradigm. A PubMed search was conducted on January 3, 2022 based on identified pharmacotherapies for peer-reviewed articles reported in English. Study-level characteristics, including sample descriptors, paradigm design, analytic approach, and Cochrane Risk of Bias, along with descriptive statistics for cue-exposure outcomes, were coded by two independent raters. Study-level effect sizes were estimated for craving and psychophysiological outcomes separately and sample-level effect sizes were calculated for each medication. Thirty-six trials, comprising 1640 participants and testing 19 different medications satisfied eligibility criteria. All studies reported on biological sex (71% male participants on average). The exposure paradigms implemented used in vivo (n = 26), visual (n = 8), and audio script (n = 2) cues. Some trials included means for craving by medication condition in text (k = 7) or figures (k = 18). The quantitative synthesis included 63 effect sizes (craving kes = 47; psychophysiological kes = 16) from 28 unique randomized trials testing 15 medications for effects on cue reactivity. For cue-induced craving, eight medications (kes range: 1-12) demonstrated small-to-medium effects (Cohen's d range: |0.24-0.64|) compared to placebo, with individuals randomized to receive medication reporting lower craving following cue exposure. Recommendations are provided to promote further consilience, so that the utility of cue exposure paradigms can be maximized in the development of effective AUD pharmacotherapies. Future work should explore the predictive utility of medication-related reductions in cue-reactivity on clinical outcomes.

Alcohol Use Among Treatment-Seeking Individuals With Opioid Use Disorder.

OBJECTIVE: Individuals in the United States with opioid use disorder (OUD) have high rates of co-occurring alcohol use disorder. However, there is limited research on co-use patterns among opioid and alcohol use. The present study examined the relationship between alcohol and opioid use in treatment-seeking individuals with an OUD. METHOD: The study used baseline assessment data from a multisite, comparative effectiveness trial. Participants with an OUD who had used nonprescribed opioids in the last 30 days (n = 567) reported on their alcohol and opioid use during the past 30 days using the Timeline Followback. Two mixed-effects logistic regression models were used to assess the effect of alcohol use and binge alcohol use (≥4 drinks/day for women and ≥5 drinks/day for men) on opioid use. RESULTS: The likelihood of same-day opioid use was significantly lower on days in which participants drank any alcohol (p < .001) as well as on days in which participants reported binge drinking (p = .01), controlling for age, gender, ethnicity, and years of education. CONCLUSIONS: These findings suggest that alcohol or binge alcohol use is associated with significantly lower odds of opioid use on a given day, which was not related to gender or age. The prevalence of opioid use remained high on both alcohol use and non-alcohol use days. In line with a substitution model of alcohol and opioid co-use, alcohol may be used to treat symptoms of opioid withdrawal and possibly play a secondary and substitutive role in individuals with OUD substance use patterns.

Global sleep quality is associated with tonic craving, but not cue-induced craving.

OBJECTIVE: Sleep disturbance is widespread among individuals with alcohol use disorder (AUD) and is thought to reduce the capacity for self-regulation. The present study examines how sleep disturbance is associated with the regulation of tonic (i.e., "trait-like") and cue-induced (i.e., "provoked") craving, among individuals with AUD. METHODS: Participants with an AUD (N = 58) completed the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, the Obsessive-Compulsive Drinking Scale (OCDS) for tonic craving, and the Alcohol Urge Questionnaire (AUQ) for cue-induced craving during an alcohol cue-exposure paradigm. A series of hierarchical regressions examined the independent contribution of sleep quality to tonic and cue-induced alcohol craving. RESULTS: PSQI global score was associated with tonic craving per the OCDS, over and above alcohol use and demographic measures. PSQI global score was not associated with cue-induced craving. CONCLUSION: These findings suggest that sleep dysfunction plays a role in tonic alcohol craving and that the underlying mechanism may be the reduction of self-regulation. Treatments targeting sleep dysfunction in AUD may prove useful in reducing craving and overall alcohol use.

Embedding comprehensive smoking cessation programs into community clinics: study protocol for a cluster-randomized controlled trial.

BACKGROUND: Cigarette smoking among adults in the USA is a leading cause of preventable death worldwide, even though there has been a decline in prevalence since 2005. The addictive nature of nicotine is the chief reason smokers continue to use tobacco. Although the majority of smokers report a desire to quit smoking, a small minority who attempt to quit achieve long-term cessation. Combined, smoking cessation best practices include coordinated medication and behavioral treatments. However, these treatments are not currently adequately delivered to Medi-Cal beneficiaries in the publicly funded patient-centered medical homes (PCMHs) and community mental health clinics operated by Los Angeles County (LAC)-Department of Health Services (LACDHS) and LAC-Department of Mental Health (LACDMH). METHODS: This is a 5-year implementation, cluster-randomized comparative effectiveness trial that will support the implementation of smoking cessation services delivered in LAC-LACDHS-operated outpatient primary care clinics and in LAC-LACDMH-operated community mental health clinics. We will enroll 1000 participants from clinics that will offer smoking cessation services and 200 from clinics that will offer treatment as usual. Participants will be asked to complete assessments at baseline, 3 months, 6 months, and 12 months. The assessments will include self-reports on smoking history, anxiety, stress, quality of life, and participant satisfaction. Participants who are assigned to clinics that provide smoking cessation services will also be asked about the frequency of their participation in the smoking cessation services during the 12-month period. DISCUSSION: This study will evaluate the effectiveness and feasibility of implementing smoking cessation services in outpatient primary care and community mental health clinics. It will also determine if there will be higher rates of smoking cessation in the implementation sites as compared to the sites with treatment as usual. If the implementation proves to be effective, the plan is to sustain these services using a workflow we will develop in the LAC-operated sites. This would lead to ameliorating the significant smoking cessation treatment gaps among those served within the LAC Health Agency departments. TRIAL REGISTRATION: ClinicalTrials.gov NCT04717544 "Embedding comprehensive smoking cessation programs into community clinics." Registered on January 22, 2021.

Moderators of subjective response to alcohol in the human laboratory.

BACKGROUND: Subjective response (SR) to alcohol represents a biobehavioral risk factor for heavy drinking and for developing alcohol use disorder (AUD). Identifying moderators of SR have been hindered by small sample sizes that are often used in alcohol administration studies. METHODS: This study combined data from multiple alcohol administration trials to test whether sex, family history of alcohol problems, and impulsivity (via delay discounting) predict SR to alcohol, comprised of four domains: stimulation, sedation, negative affect, and craving. Non-treatment-seeking heavy drinkers (N = 250) completed a battery of self-report scales and behavioral measures of alcohol use and problems, mood, and impulsivity. All participants completed an intravenous alcohol administration session wherein SR domains were measured at baseline, 20, 40, and 60 mg%. RESULTS: Analyses using multilevel modeling showed that male sex independently predicted higher alcohol-induced stimulation and alcohol craving, after controlling for other moderators. A family history of alcohol problems also independently predicted alcohol craving after controlling for other moderators. CONCLUSIONS: Using a large sample and advanced data analytic methods, this study extends the literature on alcohol administration by identifying important moderators of SR in heavy drinkers: namely, male sex and family history of alcohol problems. These findings consolidate and extend a growing body of research aimed at differentiating individuals most likely to report the SR features that confer risk for AUD.

Safety Net Provider Attitudes Toward Smoking Cessation Treatment.

Background: Cigarette smoking, which poses significant health risks, is prevalent among vulnerable populations commonly treated by safety net providers. A large-scale implementation science project on specialty tobacco use treatment was launched within the Los Angeles County Health Agency. The first phase of this study seeks to summarize and compare smoking cessation treatment attitudes of providers at the Department of Health Services (DHS) and Department of Mental Health (DMH). Methods: In total, 467 safety net health care providers (DHS = 322; DMH = 145) completed a survey inquiring about attitudes on smoking cessation treatment consisting of locally developed items and those informed by a scale on readiness for organizational change. Descriptive statistics and non-parametric tests were conducted to examine treatment attitudes for DHS and DMH providers. Results: Between agencies, providers largely reported similar attitudes on smoking cessation treatment and expressed positive beliefs regarding the efficacy of smoking cessation aids. Providers slightly or moderately agreed with being prepared to identify and diagnose tobacco use among patients. DMH providers stated that identification of tobacco use was less in line with their job responsibilities (p < 0.0001) and less strongly agreed that varenicline is effective for smoking cessation (p = 0.003), compared with DHS providers. Conclusions: Providers supported smoking cessation aid efficacy but may benefit from additional training on identification and treatment of tobacco use. These findings support the implementation of specialty tobacco cessation treatment programs with training on medications in safety net health care systems, which has the potential to yield large-scale public health benefits.

Baseline Drinking Patterns in Non-Treatment Seeking Problem Drinkers.

AIMS: Natural processes of change have been documented in treatment-seekers who begin to reduce their drinking in anticipation of treatment. The study examined whether non-treatment-seeking problem drinkers would engage in drinking reduction in anticipation of participating in a research study. METHODS: Non-treatment-seeking problem drinkers (n = 935) were culled from five behavioral pharmacology studies. Participants reported on their alcohol use during the past 30 days using the Timeline Followback. Cluster analysis identified distinct groups/clusters based on drinking patterns over the 30-day pre-visit period. The identified clusters were compared on demographic and clinical measures. RESULTS: Three distinct clusters were identified (a) heavy-decreasing drinking group (n = 255, 27.27%); (b) a moderate-stable drinking group (n = 353, 37.75%) and (c) low-stable drinking group (n = 327, 34.97%). The three clusters differed significantly on a host of measures including pre-visit drinking (age at first drink, drinking days, drinks per week, drinks per drinking day), alcohol use severity, alcohol craving, readiness for change, depression and anxiety levels. These differences were alcohol dose-dependent such that the heavier drinking group reported the highest levels on all constructs, followed by the moderate group, and the low drinking group last. CONCLUSIONS: Baseline drinking patterns of non-treatment-seekers were generally stable and pre-visit reductions were only observed among the heavy drinking group. This generally stable pattern stands in contrast to previous reports for treatment-seeking samples. Nevertheless, the heavier drinking group, which is most similar to treatment-seekers, displayed pre-study drinking reduction. Overall, naturalistic processes of change may pose less of a threat to randomization and testing in this population.

Behavioral Economic Demand for Alcohol and Cigarettes in Heavy Drinking Smokers: Evidence of Asymmetric Cross-commodity Reinforcing Value.

INTRODUCTION: Previous studies have highlighted a strong bidirectional relationship between cigarette and alcohol consumption. To advance our understanding of this relationship the present study uses a behavioral economic approach in a community sample (N = 383) of nontreatment seeking heavy drinking smokers. AIMS AND METHODS: The aims were to examine same-substance and cross-substance relationships between alcohol and cigarette use, and latent factors of demand. A community sample of nontreatment seeking heavy drinking smokers completed an in-person assessment battery including measures of alcohol and tobacco use as well as the Cigarette Purchase Task and the Alcohol Purchase Task. Latent factors of demand were derived from these hypothetical purchase tasks. RESULTS: Results revealed a positive correlation between paired alcohol and cigarette demand indices (eg, correlation between alcohol intensity and cigarette intensity) (rs = 0.18-0.46, p ≤ .003). Over and above alcohol factors, cigarette use variables (eg, Fagerström Test for Nicotine Dependence and cigarettes per smoking day) significantly predicted an additional 4.5% (p < .01) of the variance in Persistence values but not Amplitude values for alcohol. Over and above cigarette factors, alcohol use variables predicted cigarette Persistence values (ΔR2 = .013, p = .05), however, did not predict Amplitude values. CONCLUSIONS: These results advance our understanding of the overlap between cigarette and alcohol by demonstrating that involvement with one substance was associated with demand for the other substance. This asymmetric profile-from smoking to alcohol demand, but not vice versa-suggests that it is not simply tapping into a generally higher reward sensitivity and warrants further investigation. IMPLICATIONS: To our knowledge, no study to date has examined alcohol and cigarette demand, via hypothetical purchase tasks, in a clinical sample of heavy drinking smokers. This study demonstrates that behavioral economic indices may be sensitive to cross-substance relationships and specifically that such relationships are asymmetrically stronger for smoking variables affecting alcohol demand, not the other way around.

Ibudilast for alcohol use disorder: study protocol for a phase II randomized clinical trial.

BACKGROUND: Alcohol use disorder (AUD) is a chronic and relapsing condition for which current pharmacological treatments are only modestly effective. The development of efficacious medications for AUD remains a high research priority with recent emphasis on identifying novel molecular targets for AUD treatment and to efficiently screen new compounds aimed at those targets. Ibudilast, a phosphodiesterase inhibitor, has been advanced as a novel addiction pharmacotherapy that targets neurotrophin signaling and neuroimmune function. METHODS: This study will conduct a 12-week, double-blind, placebo controlled randomized clinical trial of ibudilast (50 mg BID) for AUD treatment. We will randomize 132 treatment-seeking men and women with current AUD. We will collect a number of alcohol consumption outcomes. Primary among these is percent heavy drinking days (PHDD); secondary drinking outcomes include drinks per day, drinks per drinking day, percent days abstinent, percent subjects with no heavy drinking days, and percent subjects abstinent, as well as measures of alcohol craving and negative mood. Additionally, participants will have the option to opt-in to a neuroimaging session in which we examine the effects of ibudilast on neural activation to psychosocial stress and alcohol cues. Finally, we will also collect plasma levels of proinflammatory markers, as well as subjective and biological (salivary cortisol) markers of stress response. DISCUSSION: This study will further develop ibudilast, a safe and promising novel compound with strong preclinical and clinical safety data for AUD, and will probe biological mechanisms underlying the effects of Ibudilast on stress, neuroinflammation, and alcohol cue-reactivity and craving. If ibudilast proves superior to placebo in this study, it will set the stage for a confirmatory multi-site trial leading to FDA approval of a novel AUD treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT03594435 "Ibudilast for the Treatment of Alcohol Use Disorder". Registered on 20 July 2018.

Reward, Relief and Habit Drinking: Initial Validation of a Brief Assessment Tool.

AIMS: Alcohol use disorder is highly heterogeneous. One approach to understanding this heterogeneity is the identification of drinker subtypes. A candidate classification consists of reward and relief subtypes. The current study examines a novel self-report measure of reward, relief, and habit drinking for its clinical correlates and subjective response (SR) to alcohol administration. METHODS: Non-treatment-seeking heavy drinkers (n = 140) completed the brief reward, relief, habit drinking scale (RRHDS). A subset of this sample (n = 67) completed an intravenous alcohol administration. Individuals were classified into drinker subtypes. A crowdsourced sample of heavy drinkers (n = 187) completed the RRHDS and a validated reward relief drinking scale to compare drinking classification results. RESULTS: The majority of the sample was classified as reward drinkers (n = 100), with fewer classified as relief (n = 19) and habit (n = 21) drinkers. Relief and habit drinkers reported greater tonic alcohol craving compared to reward drinkers. Reward drinkers endorsed drinking for enhancement, while relief drinkers endorsed drinking for coping. Regarding the alcohol administration, the groups differed in negative mood, such that relief/habit drinkers reported a decrease in negative mood during alcohol administration, compared to reward drinkers. The follow-up crowdsourcing study found a 62% agreement in reward drinker classification between measures and replicated the tonic craving findings. CONCLUSIONS: Our findings suggest that reward drinkers are dissociable from relief/habit drinkers using the brief measure. However, relief and habit drinkers were not successfully differentiated, which suggests that these constructs may overlap phenotypically. Notably, measures of dysphoric mood were better at detecting group differences than measures capturing alcohol's rewarding effects.