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Aims Among individuals with alcohol use disorder (AUD), sleep disturbances are pervasive and contribute to the etiology and maintenance of AUD. However, despite increased attention toward the relationship between alcohol use and sleep, limited empirical research has systematically examined whether reductions in drinking during treatment for AUD are associated with improvements in sleep problems. Methods We used data from a multisite, randomized, controlled trial that compared 6 months of treatment with gabapentin enacarbil extended-release with placebo for adults with moderate-to-severe AUD (N  = 346). The Timeline Follow-back was used to assess WHO risk drinking level reductions and the Pittsburgh Sleep Quality Index was used to assess sleep quality over the prior month at baseline and the end of treatment. Results Sleep problem scores in the active medication and placebo groups improved equally. Fewer sleep problems were noted among individuals who achieved at least a 1-level reduction (B  = −0.99, 95% confidence interval (CI) [−1.77, −0.20], P  = .014) or at least a 2-level reduction (B  = −0.80, 95% CI [−1.47, −0.14], P  = .018) in WHO risk drinking levels at the end of treatment. Reductions in drinking, with abstainers excluded from the analysis, also predicted fewer sleep problems at the end of treatment (1-level: B  = −1.01, 95% CI [−1.83, −0.20], P  = .015; 2-level: B  = −0.90, 95% CI [−1.59, −0.22], P  = .010). Conclusions Drinking reductions, including those short of abstinence, are associated with improvements in sleep problems during treatment for AUD. Additional assessment of the causal relationships between harm-reduction approaches to AUD and improvements in sleep is warranted. [ABSTRACT FROM AUTHOR]

Background: Abstinence has historically been considered the preferred goal of alcohol use disorder (AUD) treatment. However, most individuals with AUD do not want to abstain and many are able to reduce their drinking successfully. Craving is often a target of pharmacological and behavioral interventions for AUD, and reductions in craving may signal recovery. Whether reductions in drinking during AUD treatment are associated with reductions in craving has not been well examined. Methods: We conducted secondary analyses of data from three AUD clinical trials (N's= 1327, 346, and 200). Drinking reductions from baseline to the end of treatment were measured as changes in World Health Organization (WHO) risk drinking levels; alcohol craving was measured using validated self‐report measures. Regression analyses tested whether drinking reductions were associated with end‐of‐treatment craving reductions; moderation analyses tested whether associations between drinking reduction and end‐of‐treatment craving differed across AUD severity. Results: Reductions of at least 1 or at least 2 WHO risk drinking levels were associated with lower craving (all p's < 0.05). Results were substantively similar after removing abstainers at the end‐of‐treatment. Associations between drinking reductions and craving were generally not moderated by AUD severity. Conclusions: Individuals with WHO risk drinking level reductions reported significantly lower craving, as compared to those who did not achieve meaningful reductions in drinking. The results demonstrate the utility of WHO risk drinking levels as AUD clinical trial endpoints and provide evidence that drinking reductions mitigate craving. [ABSTRACT FROM AUTHOR]

Background: The Alcohol Use Disorders Identification Test‐Consumption (AUDIT‐C) is a three‐item screening measure of unhealthy alcohol use that is widely used in healthcare settings. Evidence shows high test–retest reliability of the AUDIT‐C in research samples, but most studies had limited external validity and used small samples that could not be used to evaluate reliability across demographic subgroups and/or screening modalities. This study evaluates the test–retest reliability of the AUDIT‐C completed in routine care in a large primary care sample, including across demographic subgroups defined by age, sex, race, ethnicity, and screening modality (i.e., completed in‐clinic or online). Methods: We used electronic health record (EHR) data from Kaiser Permanente Washington. The sample included 18,491 adult primary care patients who completed two AUDIT‐C screens 1–21 days apart as part of routine care in 2021. Test–retest reliability was evaluated for AUDIT‐C total scores (0–12) and for a binary measure indicating unhealthy alcohol use (scores ≥3 women, ≥4 men). Using previously established cutoffs, we interpreted reliability coefficients >0.75 as indicating "excellent" reliability. Results: AUDIT‐C screens completed in routine care and documented in EHRs had excellent test–retest reliability for total scores (ICC = 0.87, 95% CI: 0.87–0.87) and the binary indicator of unhealthy alcohol use (κ = 0.79, 95% CI: 0.78–0.80). Reliability coefficients were good to excellent across all demographic groups and for in‐clinic and online modalities. Higher reliability was seen when both screens were completed through online patient portals (ICC = 0.93, 95% CI: 0.93–0.93) versus in‐clinic (ICC = 0.81, 95% CI: 0.79–0.82) or when one screen was completed using each modality (ICC = 0.83, 95% CI: 0.82–0.83). Lower reliability was seen in American Indian/Alaska Native (ICC = 0.82, 95% CI: 0.75–0.87) and multiracial individuals (ICC = 0.82, 95% 0.80–0.84). Conclusions: In real‐world routine care conditions, AUDIT‐C screens have excellent test–retest reliability across demographic subgroups and modalities (online and in‐clinic). Future research should examine why reliability varies slightly across modalities and demographic subgroups. [ABSTRACT FROM AUTHOR]

Background and Aims: The Opioid Use Disorder (OUD) Cascade of Care is a public health model that has been used to measure population‐level OUD risk, treatment engagement, retention, service and outcome indicators. However, no studies have examined its relevance for American Indian and Alaska Native (AI/AN) communities. Thus, we aimed to understand (1) the utility of existing stages and (2) the relative 'fit' of the OUD Cascade of Care from a tribal perspective. Design, Setting, Participants and Measurements: Qualitative analysis of in‐depth interviews with 20 individuals who were knowledgeable regarding the treatment of OUD in an Anishinaabe tribal setting in Minnesota, USA. Community member roles included clinicians, peer support specialists and cultural practitioners, among others. Thematic analysis was used to analyze the data. Findings: Participants identified the key transition points of prevention, assessment, inpatient/outpatient pathways and recovery as relevant to their community. They re‐imagined an Aanji'bide (Changing our Paths) model of opioid recovery and change that was non‐linear; included developmental stage and individual pathways; and demonstrated resilience through connection to culture/spirituality, community and others. Conclusions: Community members living/working in a rural tribal nation in Minnesota, USA identified non‐linearity and cultural connection as key elements to include in an Anishinaabe‐centered model of opioid recovery and change. [ABSTRACT FROM AUTHOR]

Background: The Alcohol Use Disorders Identification Test‐Consumption version (AUDIT‐C) has been robustly validated as a point‐in‐time screen for unhealthy alcohol use, but less is known about the significance of changes in AUDIT‐C scores from routine screenings over time. Unhealthy alcohol use and depression commonly co‐occur, and changes in drinking often co‐occur with changes in depression symptoms. We assess the associations between changes in AUDIT‐C scores and changes in depression symptoms reported on brief screens completed in routine care. Methods: The study sample included 198,335 primary care patients who completed two AUDIT‐C screens 11 to 24 months apart and the Patient Health Questionnaire‐2 (PHQ‐2) depression screen on the same day as each AUDIT‐C. Both screening measures were completed as part of routine care within a large health system in Washington state. AUDIT‐C scores were categorized to reflect five drinking levels at both time points, resulting in 25 subgroups with different change patterns. For each of the 25 subgroups, within‐group changes in the prevalence of positive PHQ‐2 depression screens were characterized using risk ratios (RRs) and McNemar's tests. Results: Patient subgroups with increases in AUDIT‐C risk categories generally experienced increases in the prevalence of positive depression screens (RRs ranging from 0.95 to 2.00). Patient subgroups with decreases in AUDIT‐C risk categories generally experienced decreases in the prevalence of positive depression screens (RRs ranging from 0.52 to 1.01). Patient subgroups that did not have changes in AUDIT‐C risk categories experienced little or no change in the prevalence of positive depression screens (RRs ranging from 0.98 to 1.15). Conclusions: As hypothesized, changes in alcohol consumption reported on AUDIT‐C screens completed in routine care were associated with changes in depression screening results. Results support the validity and clinical utility of monitoring changes in AUDIT‐C scores over time as a meaningful measure of changes in drinking. [ABSTRACT FROM AUTHOR]

Background: Alcohol use disorder (AUD) is underdiagnosed and undertreated in medical settings, in part due to a lack of AUD assessment instruments that are reliable and practical for use in routine care. This study evaluates the test‐retest reliability of a patient‐report Alcohol Symptom Checklist questionnaire when it is used in routine care, including primary care and mental health specialty settings. Methods: We performed a pragmatic test‐retest reliability study using electronic health record (EHR) data from Kaiser Permanente Washington, an integrated health system in Washington state. The sample included 454 patients who reported high‐risk drinking on a behavioral health screen and completed two Alcohol Symptom Checklists 1 to 21 days apart. Subgroups of these patients who completed both checklists in primary care (n = 271) or mental health settings (n = 79) were also examined. The primary measure was an Alcohol Symptom Checklist on which patients self‐reported whether they experienced each of the 11 AUD criteria within the past year, as defined by the Diagnostic and Statistical Manual of Mental Disorders‐5th edition (DSM‐5). Results: Alcohol Symptom Checklists completed in routine care and documented in EHRs had excellent test‐retest reliability for measuring AUD criterion counts (ICC = 0.79, 95% CI: 0.76 to 0.82). Test‐retest reliability estimates were also high and not significantly different for the subsamples of patients who completed both checklists in primary care (ICC = 0.82, 95% CI: 0.77 to 0.85) or mental health settings (ICC = 0.74, 95% CI: 0.62 to 0.83). Test‐retest reliability was not moderated by having a past two‐year AUD diagnosis, nor by the age or sex of the patient completing it. Conclusions: Alcohol Symptom Checklists can reliably and pragmatically assess AUD criteria in routine care among patients who screen positive for high‐risk drinking. The Alcohol Symptom Checklist may be a valuable tool in supporting AUD‐related care and monitoring AUD criteria longitudinally in routine primary care and mental health settings. [ABSTRACT FROM AUTHOR]

Background: Racial discrimination, including microaggressions, contributes to health inequities, yet research on discrimination and microaggressions has focused on single measures without adequate psychometric evaluation. To address this gap, we examined the psychometric performance of three discrimination/microaggression measures among American Indian and Alaska Native (AI/AN) college students in a large Southwestern city.Methods: Students (N = 347; 65% female; ages 18-65) completed the revised-Everyday Discrimination Scale, Microaggressions Distress Scale, and Experiences of Discrimination measure. The psychometric performance of these measures was evaluated using item response theory and confirmatory factor analyses. Associations of these measures with age, gender, household income, substance use, and self-rated physical health were examined.Results: Discrimination and microaggression items varied from infrequently to almost universally endorsed and each measure was unidimensional and moderately correlated with the other two measures. Most items contributed information about the overall severity of discrimination and collectively provided information across a continuum from everyday microaggressions to physical assault. Greater exposure to discrimination on each measure had small but significant associations with more substance use, lower income, and poorer self-rated physical health. The Experiences of Discrimination measure included more severe forms of discrimination, while the revised-Everyday Discrimination Scale and the Microaggressions Distress Scale represented a wider range of severity.Conclusions: In clinical practice, these measures can index varying levels of discrimination for AI/ANs, particularly for those in higher educational settings. This study also informs the measurement of racial discrimination and microaggressions more broadly. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization (WHO) categorizes alcohol consumption according to grams consumed into low-, medium-, high-, and very-high-risk drinking levels (RDLs). Although abstinence has been considered the ideal outcome of alcohol treatment, reductions in WHO RDLs have been proposed as primary outcomes for alcohol use disorder (AUD) trials.Objective: The current study examines the stability of WHO RDL reductions and the association between RDL reductions and long-term functioning for up to 3 years following treatment.Design and Participants: Secondary data analysis of patients with AUD enrolled in the COMBINE Study and Project MATCH, two multi-site, randomized AUD clinical trials, who were followed for up to 3 years post-treatment (COMBINE: n = 694; MATCH: n = 806).Measures: Alcohol use was measured via calendar-based methods. We estimated all models in the total sample and among participants who did not achieve abstinence during treatment.Key Results: One-level RDL reductions were achieved by 84% of patients at the end of treatment, with 84.9% of those individuals maintaining that reduction at a 3-year follow-up. Two-level RDL reductions were achieved by 68% of patients at the end of treatment, with 77.7% of those individuals maintaining that reduction at a 3-year follow-up. One- and two-level RDL reductions at the end of treatment were associated with significantly better mental health, quality of life (including physical quality of life), and fewer drinking consequences 3 years after treatment (p < 0.05), as compared to no change or increased drinking.Conclusion: AUD patients can maintain WHO RDL reductions for up to 3 years after treatment. Patients who had WHO RDL reductions functioned significantly better than those who did not reduce their drinking. These findings are consistent with prior reports suggesting that drinking reductions, short of abstinence, yield meaningful improvements in patient health, well-being, and functioning. [ABSTRACT FROM AUTHOR]

Background: Most people with alcohol or opioid use disorders (AUD or OUD) are not diagnosed or treated for these conditions in primary care. This study takes a critical step toward quantifying service gaps and directing improvement efforts for AUD and OUD by using electronic health record (EHR) data from diverse primary care organizations to quantify the extent to which AUD and OUD are underdiagnosed and undertreated in primary care practices.Methods: We extracted and integrated diagnosis, medication, and behavioral health visit data from the EHRs of 21 primary care clinics within four independent healthcare organizations representing community health centers and rural hospital-associated clinics in the Pacific Northwest United States. Rates of documented AUD and OUD diagnoses, pharmacological treatments, and behavioral health visits were evaluated over a two-year period (2015-2016).Results: Out of 47,502 adult primary care patients, 1476 (3.1%) had documented AUD; of these, 115 (7.8%) had orders for AUD medications and 271 (18.4%) had at least one documented visit with a non-physician behavioral health specialist. Only 402 (0.8%) patients had documented OUD, and of these, 107 (26.6%) received OUD medications and 119 (29.6%) had at least one documented visit with a non-physician behavioral health specialist. Rates of AUD diagnosis and AUD and OUD medications were higher in clinics that had co-located non-physician behavioral health specialists.Conclusions: AUD and OUD are underdiagnosed and undertreated within a sample of independent primary care organizations serving mostly rural patients. Primary care organizations likely need service models, technologies, and workforces, including non-physician behavioral health specialists, to improve capacities to diagnose and treat AUD and OUD. [ABSTRACT FROM AUTHOR]

Background: We sought to understand alcohol behavior change as a process over time by identifying patterns of relapse and remission after outpatient treatment and evaluating how these patterns predict longer-term clinical outcomes.Method: We conducted latent profile analyses using data from the outpatient arm in Project MATCH. Relapse and remission episodes were defined by the number of consecutive 14-day periods that included any heavy drinking days and no heavy drinking days. Indicators of each profile were: initial 2-week post-treatment remission/relapse status, number of remission/relapse transitions in the first year after treatment, duration of remission episodes, and duration of relapse episodes.Results: We identified 6 profiles: 1) "remission," 2) "transition to remission", 3) "few long transitions," 4) "many short transitions," 5) "transition to relapse," and 6) "relapse." Profile 1 had the best long-term outcomes. Long-term outcomes were not uniform among individuals with at least some heavy drinking (profiles 2 through 6; ∼75% of the sample). Individuals who transitioned back to and sustained periods of remission (profiles 2-4) had better long-term outcomes than those who failed to transition out of relapse (profiles 5-6) following treatment.Conclusions: Post-treatment change in alcohol use is a process in which individuals variably transition in and out of "relapse" and "remission" statuses. "Any heavy drinking" following treatment is not necessarily a sign of treatment failure. A more nuanced look at the process of AUD change by considering whether individuals are able to transition to and sustain periods of remission seems warranted. [ABSTRACT FROM AUTHOR]

Objective: This secondary data analysis explored predictors and outcomes of having a 12-step sponsor among individuals receiving treatment for stimulant use disorders, inclusive of four types of 12-step groups (Narcotics Anonymous, Alcoholics Anonymous, Cocaine Anonymous, and Crystal Meth Anonymous).Method: For a multisite randomized clinical trial, participants (N = 471; 59% women) were recruited among adult patients in 10 U.S. community treatment programs. Participants were randomized into treatment as usual (TAU) or a 12-step facilitation (TSF) intervention: Stimulant Abuser Groups to Engage in 12-Step (STAGE-12). Logistic regression analyses explored the extent to which participants obtained sponsors, including the extent to which treatment condition and other predictors (12-step experiences, expectations, and beliefs) were associated with having a sponsor. The relationship between end-of-treatment sponsorship and follow-up substance use outcomes was also tested.Results: Participants were more likely to have a sponsor at the end of treatment and 3-month follow-up, with the STAGE-12 condition having higher sponsorship rates. Twelve-step meeting attendance and literature reading during the treatment period predicted having a sponsor at the end of treatment. Sponsorship at the end of treatment predicted a higher likelihood of abstinence from stimulant use and having no drug-related problems at follow-up.Conclusions: This study extends previous research on sponsorship, which has mostly focused on alcohol use disorders, by indicating that sponsorship is associated with positive outcomes for those seeking treatment from stimulant use disorders. It also suggests that sponsorship rates can be improved for those seeking treatment from stimulant use disorders through a short-term TSF intervention. [ABSTRACT FROM AUTHOR]

Background Alcohol use disorder (AUD) is a highly prevalent public health problem associated with considerable individual and societal costs. Abstinence from alcohol is the most widely accepted target of treatment for AUD, but it severely limits treatment options and could deter individuals who prefer to reduce their drinking from seeking treatment. Clinical validation of reduced alcohol consumption as the primary outcome of alcohol clinical trials is critical for expanding treatment options. One potentially useful measure of alcohol treatment outcome is a reduction in the World Health Organization (WHO, International Guide for Monitoring Alcohol Consumption and Related Harm. Geneva, Switzerland, 2000) risk levels of alcohol use (very high risk, high risk, moderate risk, and low risk). For example, a 2-shift reduction in WHO risk levels (e.g., high risk to low risk) has been used by the European Medicines Agency (2010, Guideline on the Development of Medicinal Products for the Treatment of Alcohol Dependence. UK) to evaluate nalmefene as a treatment for alcohol dependence (AD; Mann et al. 2013, Biol Psychiatry 73, 706-13). Methods The current study was a secondary data analysis of the COMBINE study ( n = 1,383; Anton et al., ) to examine the association between reductions in WHO risk levels and reductions in alcohol-related consequences and mental health symptoms during and following treatment in patients with AD. Results Any reduction in WHO risk drinking level during treatment was associated with significantly fewer alcohol-related consequences and improved mental health at the end of treatment and for up to 1 year posttreatment. A greater reduction in WHO risk drinking level predicted a greater reduction in consequences and greater improvements in mental health. Conclusions Changes in WHO risk levels appear to be a valid end point for alcohol clinical trials. Based on the current findings, reductions in WHO risk drinking levels during treatment reflect meaningful reductions in alcohol-related consequences and improved functioning. [ABSTRACT FROM AUTHOR]

Objective: Statistical analyses in alcohol clinical trials often use longitudinal daily drinking data (e.g., percentage of drinking days) to test treatment efficacy. Such data can be aggregated and analyzed in many ways. To assess how statistical analytic decisions may influence substantive results, the current report compares different aggregation methods (e.g., computing percentages of drinking days vs. using daily binary indicators of drinking) and statistical methods (i.e., least squares regression, linear mixed-effects models [LMM], generalized linear mixed models [GLMM], and generalized estimating equations [GEE]) for testing the effects of treatment on drinking outcomes in clinical trials.Method: A simulation study repeatedly resampled daily drinking data from the treatment period of the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) Study at different sample sizes. Treatment effects in each data set were modeled using different aggregation and statistical methods.Results: Type I error rates were near the expected rate for most models but on occasion were mildly elevated when disaggregated daily drinking data were analyzed using GLMM or GEE with an exchangeable correlation structure. Most methods yielded similar statistical power, although power decreased when modeling disaggregated daily drinking with GLMM and had mixed increases and decreases when the longitudinal nature of data was ignored by using fully aggregated data with independent samples t tests.Conclusions: When testing treatment main effects, relatively simpler statistical methods with fewer repeated measures may perform equally well or better than more complicated methods. Patterns of significance and treatment effect size estimates are likely comparable across most studies that use different aggregation and statistical methods, but differences between these methods may occasionally have an important impact on conclusions in clinical trials. [ABSTRACT FROM AUTHOR]

Background The construct of relapse is used widely in clinical research and practice of alcohol use disorder (AUD) treatment. The purpose of this study was to test the predictive validity of commonly appearing definitions of AUD relapse in the empirical literature. Methods Secondary analyses of data from Project MATCH and COMBINE were conducted using 7 definitions of 'relapse' based on drinking quantity within a single drinking episode: any drinking; at least 4/5 drinks for women/men; at least 4.3/7.1 drinks for women/men; at least 6/7 drinks for women/men; at least 6 drinks; at least 7/9 drinks for women/men; and at least 8/10 drinks for women/men. Relapse was used to predict alcohol consumption, related consequences, and nonconsumption outcomes (quality of life, psychosocial functioning) at the end of treatment and up to 1 year posttreatment. Results Regression analyses indicated within-treatment relapse definitions significantly predicted end-of-treatment alcohol consumption and alcohol-related consequences. Heavy drinking definitions were generally more predictive than the any drinking definition, but no single heavy drinking definition was consistently a better predictor of outcomes. Relapse definitions were less predictive of longer-term alcohol-related outcomes and both shorter- and longer-term nonconsumption outcomes, including health and psychosocial functioning. Conclusions One particular definition of relapse did not consistently stand out as the best predictor. Advances in AUD research may require reconceptualization of relapse as a multifaceted dynamic process and may consider a wider range of relevant behaviors (e.g., health and psychosocial functioning) when examining the change process in individuals with AUD. [ABSTRACT FROM AUTHOR]

Background: Missing data are common in alcohol clinical trials for both continuous and binary end points. Approaches to handle missing data have been explored for continuous outcomes, yet no studies have compared missing data approaches for binary outcomes (e.g., abstinence, no heavy drinking days). This study compares approaches to modeling binary outcomes with missing data in the COMBINE study. Methods: We included participants in the COMBINE study who had complete drinking data during treatment and who were assigned to active medication or placebo conditions (N = 1,146). Using simulation methods, missing data were introduced under common scenarios with varying sample sizes and amounts of missing data. Logistic regression was used to estimate the effect of naltrexone (vs. placebo) in predicting any drinking and any heavy drinking outcomes at the end of treatment using 4 analytic approaches: complete case analysis (CCA), last observation carried forward (LOCF), the worst case scenario (WCS) of missing equals any drinking or heavy drinking, and multiple imputation (MI). In separate analyses, these approaches were compared when drinking data were manually deleted for those participants who discontinued treatment but continued to provide drinking data. Results: WCS produced the greatest amount of bias in treatment effect estimates. MI usually yielded less biased estimates than WCS and CCA in the simulated data and performed considerably better than LOCF when estimating treatment effects among individuals who discontinued treatment. Conclusions: Missing data can introduce bias in treatment effect estimates in alcohol clinical trials. Researchers should utilize modern missing data methods, including MI, and avoid WCS and CCA when analyzing binary alcohol clinical trial outcomes. [ABSTRACT FROM AUTHOR]

Motivational interviewing (MI) is an efficacious treatment for substance use disorders and other problem behaviors. Studies on MI fidelity and mechanisms of change typically use human raters to code therapy sessions, which requires considerable time, training, and financial costs. Natural language processing techniques have recently been utilized for coding MI sessions using machine learning techniques, rather than human coders, and preliminary results have suggested these methods hold promise. The current study extends this previous work by introducing two natural language processing models for automatically coding MI sessions via computer. The two models differ in the way they semantically represent session content, utilizing either 1) simple discrete sentence features (DSF model) and 2) more complex recursive neural networks (RNN model). Utterance- and session-level predictions from these models were compared to ratings provided by human coders using a large sample of MI sessions (N=341 sessions; 78,977 clinician and client talk turns) from 6 MI studies. Results show that the DSF model generally had slightly better performance compared to the RNN model. The DSF model had "good" or higher utterance-level agreement with human coders (Cohen's kappa>0.60) for open and closed questions, affirm, giving information, and follow/neutral (all therapist codes); considerably higher agreement was obtained for session-level indices, and many estimates were competitive with human-to-human agreement. However, there was poor agreement for client change talk, client sustain talk, and therapist MI-inconsistent behaviors. Natural language processing methods provide accurate representations of human derived behavioral codes and could offer substantial improvements to the efficiency and scale in which MI mechanisms of change research and fidelity monitoring are conducted. [ABSTRACT FROM AUTHOR]

Background: Behavioral economic theories of drinking posit that the reinforcing value of engaging in activities with versus without alcohol influences drinking behavior. Measures of the reinforcement value of drugs and alcohol have been used in previous research, but little work has examined the psychometric properties of these measures.Objectives: The present study aims to evaluate the factor structure, test–retest reliability, and concurrent validity of an alcohol-only version of the Adolescent Reinforcement Survey Schedule (ARSS-AUV).Methods: A sample of 157 college student drinkers completed the ARSS-AUV at two time points 2–3 days apart. Test–retest reliability, hierarchical factor analysis, and correlations with other drinking measures were examined.Results: Single, unidimensional general factors accounted for a majority of the variance in alcohol and alcohol-free reinforcement items. Residual factors emerged that typically represented alcohol or alcohol-free reinforcement while doing activities with friends, romantic or sexual partners, and family members. Individual ARSS-AUV items had fair-to-good test–retest reliability, while general and residual factors had excellent test–retest reliability. General alcohol reinforcement and alcohol reinforcement from friends and romantic partners were positively correlated with past-year alcohol consumption, heaviest drinking episode, and alcohol-related negative consequences. Alcohol-free reinforcement indices were unrelated to alcohol use or consequences.Conclusions/Importance: The ARSS-AUV appears to demonstrate good reliability and mixed concurrent validity among college student drinkers. The instrument may provide useful information about alcohol reinforcement from various activities and people and could provide clinically-relevant information for prevention and treatment programs. [ABSTRACT FROM PUBLISHER]

Background and aims Drinking urges during treatment for alcohol use disorders (AUDs) are common, can cause distress and predict relapse. Clients may have little awareness of how their drinking urges might be expected to change during AUD treatment in general and in response to initiating abstinence. The aim of the present study was to test whether drinking urges change on a daily level during treatment and after initiating abstinence. Design Secondary data analysis was performed using daily drinking urge ratings from two randomized clinical trials. Setting and Participants Women ( n = 98) and men ( n = 79) with AUDs in separate clinical trials of out-patient AUD-focused cognitive-behavioral therapy. Measurements Daily dichotomous indicators of any drinking urges or acute escalations in urges (i.e. at least two more urges compared with the previous day) were examined using generalized linear mixed growth-curve modeling. Findings Participants who initiated abstinence reported reductions in urges immediately thereafter (log odds ratios: women B = −0.701, P < 0.001; men B = −0.628, P = 0.018), followed by additional, gradual reductions over time (women B = −0.118, P < 0.001; men B = −0.141, P < 0.001). Participants who entered treatment abstaining from alcohol also reported significant reductions in urges over time (women B = −0.147, P < 0.001; men B = −0.142, P < 0.001). Participants who drank throughout treatment had smaller (women B = −0.042, P = 0.012) or no reductions in urges (men B = 0.015, P = 0.545). There was no evidence that urges increased systematically in response to initiating abstinence. Conclusions Drinking urges during out-patient behavioral treatment for alcohol use disorders may be maintained in part by alcohol consumption. Initiating abstinence is associated with reductions in drinking urges immediately and then more gradually over time. [ABSTRACT FROM AUTHOR]

Couple-based treatments for alcohol use disorders ( AUDs) produce higher rates of abstinence than individual-based treatments and posit that active involvement of both identified patients ( IPs) and significant others ( SOs) is partly responsible for these improvements. Separate research on couples' communication has suggested that pronoun usage can indicate a communal approach to coping with health-related problems. The present study tested whether communal coping, indicated by use of more first-person plural pronouns ('we' language), fewer second-person pronouns ('you' language), and fewer first-person singular pronouns ('I' language), predicted improvements in abstinence in couple-based AUD treatment. Pronoun use was measured in first- and mid-treatment sessions for 188 heterosexual couples in four clinical trials of alcohol behavioral couple therapy ( ABCT). Percentages of days abstinent were assessed during treatment and over a 6-month follow-up period. Greater IP and SO 'we' language during both sessions was correlated with greater improvement in abstinent days during treatment. Greater SO 'we' language during first- and mid-treatment sessions was correlated with greater improvement in abstinence at follow-up. Greater use of IP and SO 'you' and 'I' language had mixed correlations with abstinence, typically being unrelated to or predicting less improvement in abstinence. When all pronoun variables were entered into regression models, only greater IP 'we' langue and lower IP 'you' language predicted improvements in abstinence during treatment, and only SO 'we' language predicted improvements during follow-up. Most pronoun categories had little or no association with baseline relationship distress. Results suggest that communal coping predicts better abstinence outcomes in couple-based AUD treatment. [ABSTRACT FROM AUTHOR]

Individuals receiving treatment for alcohol use disorders (AUDs) often experience urges to drink, and reductions in drinking urges during cognitive-behavioral therapy (CBT) predict better treatment outcomes. However, little previous work has examined patterns of daily drinking urges during treatment. This study examined patterns of change in daily drinking urges among participants in two randomized clinical trials of males (N =80 with 4,401 daily recordings) and females (N =101 with 8,011 daily recordings) receiving individual- or couples-based CBT. Drinking urges were common during treatment, occurring on 45.1% of days for men and 44.8% for women. Drinking urges and alcohol use for both genders decreased substantially during the course of treatment. Both genders had increases in drinking urges as more time elapsed since attending a treatment session. For men, this increase was most pronounced at the beginning of treatment, but for women it was most pronounced near the end of treatment. Alcohol use and drinking urges were both more likely to occur on weekends. The results suggest that these times may lead to higher risk for drinking, and clients may benefit from high-risk planning that is focused on these times. [ABSTRACT FROM AUTHOR]

Background Attrition is common in alcohol clinical trials and the resultant loss of data represents an important methodological problem. In the absence of a simulation study, the drinking outcomes among those who are lost to follow-up are not known. Individuals who drop out of treatment and continue to provide drinking data, however, may be a reasonable proxy group for making inferences about the drinking outcomes of those lost to follow-up. Methods We used data from the COMBINE study, a multisite, randomized clinical trial, to examine drinking during the 4 months of treatment among individuals who dropped out of treatment but continued to provide drinking data (i.e., 'treatment dropouts;' n = 185). First, we estimated the observed treatment effect size for naltrexone versus placebo in a sample that included both treatment completers ( n = 961) and treatment dropouts ( n = 185; total N = 1,146), as well as the observed treatment effect size among just those who dropped out of treatment ( n = 185). In both the total sample ( N = 1,146) and the dropout sample ( n = 185), we then deleted the drinking data after treatment dropout from those 185 individuals to simulate missing data. Using the deleted data sets, we then estimated the effect of naltrexone on the continuous outcome percent heavy drinking days using 6 methods to handle missing data (last observation carried forward, baseline observation carried forward, placebo mean imputation, missing = heavy drinking days, multiple imputation ( MI), and full information maximum likelihood [ FIML]). Results MI and FIML produced effect size estimates that were most similar to the true effects observed in the full data set in all analyses, while missing = heavy drinking days performed the worst. Conclusions Although missing drinking data should be avoided whenever possible, MI and FIML yield the best estimates of the treatment effect for a continuous outcome measure of heavy drinking when there is dropout in an alcohol clinical trial. [ABSTRACT FROM AUTHOR]

This study examined the association between relationship satisfaction and drinking urges among women who participated in alcohol behavioral individual therapy (ABIT) and Alcohol Behavioral Couples Therapy (ABCT). Relationship satisfaction and drinking urges were not related on a daily level, but urges were related to mean levels of relationship satisfaction, and this association was moderated by treatment condition and time in treatment. Women with higher relationship satisfaction had fewer drinking urges, and women in ABCT with higher relationship satisfaction experienced greater reductions in urges during treatment. These findings suggest that ABCT may target the association between relationship satisfaction and drinking urges. [ABSTRACT FROM PUBLISHER]

Client language reflecting motivation for changing substance use (i.e. change talk) has been shown to predict outcomes in motivational interviewing. While previous work has shown that change talk may be elicited by clinician behaviors, little is known about intrapersonal factors that may elicit change talk, including clients' baseline motivation for change. The present study tested whether in-session change talk differs between clients based on their readiness for change. First-session audio recordings from Project MATCH, a large multi-site clinical trial of alcohol treatments. Project MATCH out-patients ( n = 69) and aftercare patients ( n = 48) receiving motivational enhancement therapy (MET). Client language from first-session MET was coded using the Sequential Code for Observing Process Exchanges. Readiness and stages of change were assessed using both categorical and dimensional variables derived from the University of Rhode Island Change Assessment and the Stages of Change Readiness and Treatment Eagerness Scale, administered prior to first treatment sessions. Stage of change scales followed some of the expected correspondence with change talk, although the associations were generally small in magnitude and inconsistent across measures and treatment arms. Higher overall readiness did not predict more overall change talk, contemplation had mixed associations with preparatory change talk, and preparation/action did not predict commitment language. Motivational language used in initial sessions by people receiving counselling for excessive alcohol consumption does not appear to be associated with readiness to change as construed by the Transtheoretical Model. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of this study was to examine whether changes in heavy drinking occurring within alcohol treatment predict long-term functioning.Method: Latent profile analyses were conducted using data from Project MATCH and COMBINE. Observed changes in heavy and nonheavy drinking within consecutive 2-week periods over the respective treatment durations were characterized for each participant and were used to identify latent profiles.Results: Both data sets revealed 6 profiles: (1) continuous "remission" (nonheavy drinking); (2) transition from heavy drinking ("relapse") to remission; (3) mostly remission, limited relapse; (4) numerous short transitions between relapse and remission; (5) transition to relapse; and (6) continuous relapse. Profiles 1 and 2 had the best long-term outcomes, Profiles 5 and 6 had the worst, and Profiles 3 and 4 fell between these groups. Within-treatment patterns of heavy drinking and nonheavy drinking were also associated with post-treatment patterns of relapse and remission.Conclusions: Patterns of transition between episodes that respectively include heavy and nonheavy drinking predict long-term alcohol use and psychosocial outcomes and seem essential for clinicians to discuss with their patients. Relapses during outpatient treatment do not necessarily indicate treatment failure, provided they are relatively brief and/or infrequent. In addition, some individuals can and do change from transition patterns of heavy drinking within treatment that are predictive of poorer long-term functioning to transition patterns that predict better functioning within the first year post-treatment. [ABSTRACT FROM AUTHOR]

Young adult frequent cannabis use has increased in prevalence and some frequent users have problems reducing their use. A strong link between momentary craving and subsequent use behaviors among individuals with problematic cannabis use has been reported in the literature, including young adults. In treatment contexts, interventions based on associative learning and reinforcement aim to reduce the prevalence of problematic substance use by altering the association between craving and use by increasing craving management skills such as mindfulness and reducing unhelpful responding such as avoidance or suppression. However, this model has not been tested among young adult cannabis users. The current study examined the influence of trait and state craving management strategies (mindfulness, coping style, experiential avoidance, and craving beliefs) on the link between momentary craving and use, using ecological momentary assessment in a sample of young adults with problematic use interested in reducing their use. Results demonstrated that two craving management constructs were associated with use: non-reactivity (p = 0.02) and non-judgment (p < 0.01). Interactions with momentary craving were observed for two constructs: non-judgmentalness (p = 0.02) and craving beliefs (p < 0.01). Findings suggest that treatments that increase non-reactivity and non-judgmentalness may reduce the occurrence of cannabis use for young adults contemplating reduction during an important period of biopsychosocial development by mitigating the impact of craving or directly reducing use. Additionally, negative beliefs about craving may serve a protective function during acute periods of elevation in momentary craving, an unexpected finding deserving further investigation. [ABSTRACT FROM AUTHOR]

Background: Patients with a substance use disorder (SUD) often present with co-occurring chronic conditions in primary care. Despite the high co-occurrence of chronic medical conditions and SUD, little is known about whether chronic condition outcomes or related service utilization in primary care varies between patients with versus without documented SUDs. This study examined whether having a SUD influenced the use of primary care services and common chronic condition outcomes for patients with diabetes, hypertension, and obesity.Methods: A longitudinal cohort observational study examined electronic health record data from 21 primary care clinics in Washington and Idaho to examine differences in service utilization and clinical outcomes for diabetes, hypertension, and obesity in patients with and without a documented SUD diagnosis. Differences between patients with and without documented SUD diagnoses were compared over a three-year window for clinical outcome measures, including hemoglobin A1c, systolic and diastolic blood pressure, and body mass index, as well as service outcome measures, including number of encounters with primary care and co-located behavioral health providers, and orders for prescription opioids. Adult patients (N = 10,175) diagnosed with diabetes, hypertension, or obesity before the end of 2014, and who had ≥2 visits across a three-year window including at least one visit in 2014 (baseline) and at least one visit occurring 12 months or longer after the 2014 visit (follow-up) were examined.Results: Patients with SUD diagnoses and co-occurring chronic conditions were seen by providers more frequently than patients without SUD diagnoses (p's < 0.05), and patients with SUD diagnoses were more likely to be prescribed opioid medications. Chronic condition outcomes were no different for patients with versus without SUD diagnoses.Discussion: Despite the higher visit rates to providers in primary care, a majority of patients with SUD diagnoses and chronic medical conditions in primary care did not get seen by co-located behavioral health providers, who can potentially provide and support evidence informed care for both SUD and chronic conditions. Patients with chronic medical conditions also were more likely to get prescribed opioids if they had an SUD diagnosis. Care pathway innovations for SUDs that include greater utilization of evidence-informed co-treatment of SUDs and chronic conditions within primary care settings may be necessary for improving care overall for patients with comorbid SUDs and chronic conditions. [ABSTRACT FROM AUTHOR]

Background: Mobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes.Objective: The objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression.Methods: Participants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant's smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (≥18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score ≥5, or if their score on item 10 was ≥2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed.Results: We randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (χ22=6.46, P=.04).Conclusions: Mobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression.Clinicaltrial: Clinicaltrials.gov NCT00540865; https://www.clinicaltrials.gov/ct2/show/NCT00540865 (Archived by WebCite at http://www.webcitation.org/6mj8IPqQr). [ABSTRACT FROM AUTHOR]

Background: Self-report measures of alcohol problems are commonly included in studies evaluating treatment and recovery from alcohol use disorder (AUD), but no prior study has examined the replicability of the measurement of alcohol problems across studies with various measures and diverse samples. Further, it is unclear which items may be better indicators of alcohol problems for patient subgroups. In the present study, we integrated data from four large alcohol treatment studies to develop a commensurate measure of alcohol problems using moderated nonlinear factor analysis (MNLFA).Methods: Data were from the COMBINE study, Project MATCH, the Relapse Replication and Extension Project (RREP), and the United Kingdom Alcohol Treatment Trial (UKATT), yielding a total sample size of 4414. MNLFA was carried out on the Drinker Inventory of Consequences (COMBINE, MATCH, RREP) and Alcohol Problems Questionnaire (UKATT).Results: We successfully created a 78-item commensurate measure of alcohol problems and examined differential item functioning (DIF) by study membership, time, and socio-demographic characteristics. Sixty-two items demonstrated intercept DIF, suggesting differences in rates of item endorsement for clients with the same underlying levels of alcohol problems across patient subgroups. Six items demonstrated loading DIF, suggesting differences in the extent to which the items were indicative of alcohol problems across patient subgroups.Conclusions: The self-reported measurement of alcohol problems replicates across measures and diverse samples. Items with DIF have clinical implications for the treatment of AUD. Finally, MNLFA scores can be used to test substantive research questions across these studies. [ABSTRACT FROM AUTHOR]

The high prevalence of opioid use among justice-involved adults make jails an exceptional setting to initiate opioid use disorder (OUD) treatment, but optimal strategies for delivering these interventions are still not well understood. The objective of this study was to conduct a randomized controlled trial to assess the effectiveness of extended-release naltrexone (XR-NTX, Vivitrol®; Alkermes Inc) alone or in conjunction with patient navigation (XR-NTX + PN) for jail inmates with OUD. We randomized a sample of 135 sentenced jail inmates with moderate to severe OUD to (1) XR-NTX only; (2) XR-NTX + PN; or (3) enhanced treatment-as-usual (ETAU) with drug education, each initiated prior to release from jail. We scheduled follow-up data assessments at 1, 3, 6, and 12 months post-release. Primary outcomes were opioid use (based on Timeline Followback Interview and Addiction Severity Index) and meeting CIDI DSM-5 criteria for OUD 6 months postrelease. We also measured treatment adherence, HIV risk, and recidivism. XR-NTX participants received a mean of 2.26 of 7 possible injections compared to XR-NTX + PN participants, who received a mean of 2.93 injections (Cohen's d = 0.33, 95% CI: -0.09 to 0.74). Thirty-six percent of patients in XR-NTX + PN attended at least one postrelease PN session. We found no significant differences by study condition six months after release from jail for the primary outcomes of any opioid use (ETAU: 17%, XR-NTX: 16%, XR-NTX + PN: 29%) and past 30-day OUD (ETAU: 8%, XR-NTX: 11%, XR-NTX + PN: 10%). Secondary outcomes of rearrest and HIV risk also were similar across groups, with the exception of lower sex-related HIV risk among those in the XR-NTX condition at 12 months. This study did not show superior outcomes of XR-NTX or XR-NTX + PN with regard to opioid use or recidivism outcomes, relative to ETAU. It did, however, highlight the difficulties with adherence to XR-NTX and PN interventions in OUD patients initiating treatment in jail. [ABSTRACT FROM AUTHOR]

Background: Client language is hypothesized to be a mechanism of action in motivational interviewing (MI). Despite the association of change and sustain talk with substance treatment outcomes, it not known whether providers can intentionally influence this language as hypothesized.Objective: This is a randomized controlled trial to investigate whether substance use providers can be trained to influence client language.Methods: Treatment providers specializing in substance use disorders (n=190) were randomly assigned to standard training in MI (MI-AU) or training emphasizing an influence of client language (MI-LEAF). Treatment sessions with actual clients were evaluated 3, 6 and 12 months after training by masked raters. Frequencies of client change and sustain talk were the outcome variables.Results: Sustain talk, but not change talk, was significantly lower in clients whose providers had received the specialized training (b=-0.175, SE=0.087, p=0.046, CI[-0.348 to 0.002], d=-0.325). Mediation analyses supported a causal chain between a) training, b) providers' attempts to minimize sustain talk in treatment sessions via directive reflective listening and c) client sustain talk in the treatment session (κ2=0.0833, bootstrap SE=0.0394, 95% CI [0.0148, 0.1691]).Conclusions: With specialized training, providers can reduce the amount of opposition language their clients offer when considering a change in their substance use. Demonstrating that client language is under partial control of the provider supports the feasibility of clinical trials to investigate the impact of shaping client language on treatment outcomes. [ABSTRACT FROM AUTHOR]

Objective: This secondary data analysis examined patterns of drinking during alcohol treatment and associated drinking outcomes during the first year following treatment. The goal was to provide clinicians with guidance on which patients may be most at risk for negative long-term outcomes based on drinking patterns during treatment.Method: This study was an analysis of existing data (N = 3,851) from three randomized clinical trials for alcohol use disorder: the COMBINE Study (n = 1,383), Project MATCH (n = 1,726), and the United Kingdom Alcohol Treatment Trial (n = 742). Indicators of abstinence, non-heavy drinking, and heavy drinking (defined as 4/5 or more drinks per day for women/men) were examined during each week of treatment using repeated-measures latent class analysis. Associations between drinking patterns during treatment and drinking intensity, drinking consequences, and physical and mental health 12 months following intake were examined.Results: Seven drinking patterns were identified. Patients who engaged in persistent heavy drinking throughout treatment and those who returned to persistent heavy drinking during treatment had the worst long-term outcomes. Patients who engaged in some heavy drinking during treatment had better long-term outcomes than persistent heavy drinkers. Patients who reported low-risk drinking or abstinence had the best long-term outcomes. There were no differences in outcomes between low-risk drinkers and abstainers.Conclusions: Abstinence, low-risk drinking, or even some heavy drinking during treatment are associated with the best long-term outcomes. Patients who are engaging in persistent heavy drinking are likely to have the worst outcomes and may require a higher level of care. [ABSTRACT FROM AUTHOR]

This study examined variability in Motivational Interviewing (MI) integrity among 15 providers for three years following training. Data come from an effectiveness trial in which providers were trained to deliver brief single-session MI interventions. Each session was audio-recorded and coded for MI integrity using the Motivational Interviewing Treatment Integrity (MITI) 3.1.1 rating system. Within-provider variation in MI integrity was large, especially for behavior count scores (e.g., open questions, complex reflections) and only slightly smaller for global session scores of MI Spirit and Empathy. Within-provider variability was in most cases larger than between-provider variability and there was no evidence that providers improved appreciably over time. These findings raise concerns about the quality of MI being delivered in large-scale implementation efforts and have implications for the monitoring and training of higher quality MI. [ABSTRACT FROM AUTHOR]