A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making.

Existing methods for estimating the mean outcome under a given sequential treatment rule often rely on intention-to-treat analyses, which estimate the effect of following a certain treatment rule regardless of compliance behavior of patients. There are two major concerns with intention-to-treat analyses: (1) the estimated effects are often biased toward the null effect; (2) the results are not generalizable and reproducible due to the potentially differential compliance behavior. These are particularly problematic in settings with a high level of non-compliance, such as substance use disorder studies. Our work is motivated by the Adaptive Treatment for Alcohol and Cocaine Dependence study (ENGAGE), which is a multi-stage trial that aimed to construct optimal treatment strategies to engage patients in therapy. Due to the relatively low level of compliance in this trial, intention-to-treat analyses essentially estimate the effect of being randomized to a certain treatment, instead of the actual effect of the treatment. We obviate this challenge by defining the target parameter as the mean outcome under a dynamic treatment regime conditional on a potential compliance stratum. We propose a flexible non-parametric Bayesian approach based on principal stratification, which consists of a Gaussian copula model for the joint distribution of the potential compliances, and a Dirichlet process mixture model for the treatment sequence specific outcomes. We conduct extensive simulation studies which highlight the utility of our approach in the context of multi-stage randomized trials. We show robustness of our estimator to non-linear and non-Gaussian settings as well.

History and current status of contingency management programs in the Department of Veterans Affairs.

OBJECTIVE: This article describes the Department of Veterans Affairs (VA) national implementation of contingency management within VA substance use disorder (SUD) treatment programs. METHODS: The rationale for implementing CM, role of VA leadership, and training and supervision procedures are detailed. The role of the Veterans Canteen Service (VCS) in sustaining the CM implementation through the donation of incentives is outlined. Updated outcomes from the primary program, CM to incentivize stimulant abstinence, are provided. Data presented were gathered from June 2011 to January 2023, from VA facilities across the country. RESULTS: More than 6000 Veterans from 119 VA facilities have received CM in a 12-week program in which two urine samples are obtained per week, with 92% of the samples negative for the targeted substance. Two other CM pilot projects are described. The first incentivizes adherence to injectable medications for opioid and alcohol use disorders, with over 580 veterans from 27 VA sites participating to date. The second incentivized smoking cessation in 312 patients from four sites. A new initiative in which CM is implemented in smaller community-based VA facilities through use of onsite prize cabinets is presented and the possibility of providing CM remotely in VA is discussed. CONCLUSIONS: It has proved feasible to implement abstinence CM and several other CM pilot programs at many VA facilities. Factors that contributed to the success of the VA CM rollout, challenges that were encountered along the way, and lessons learned that may facilitate wider use of CM outside VA are discussed.

Telehealth for Substance Use Disorders: A Rapid Review for the 2021 U.S. Department of Veterans Affairs and U.S. Department of Defense Guidelines for Management of Substance Use Disorders.

BACKGROUND: Approximately 20.4 million Americans met criteria for a substance use disorder (SUD) in 2019; however, only about 12.2% of persons with an SUD receive specialty care. Telehealth offers alternatives to traditional forms of substance use treatment. PURPOSE: To synthesize recent findings on the efficacy of telehealth for SUDs. DATA SOURCES: MEDLINE, Embase, PubMed, and the Cochrane Library from January 2015 through August 2021 (English language only). STUDY SELECTION: Randomized controlled trials (RCTs) of adults with a diagnosis of SUD based on the Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases. DATA EXTRACTION: One investigator abstracted data and assessed study quality, and a second checked for accuracy. DATA SYNTHESIS: This rapid review synthesized evidence from 17 RCTs. Evidence is very uncertain that telehealth provided as videoconference therapy (1 RCT) or web-based cognitive behavioral therapy (CBT) (3 RCTs) has similar effects to in-person therapy for improving abstinence from alcohol or cannabis. Low-strength evidence suggests that web-based CBT has similar effects for improving abstinence in multiple SUDs (2 RCTs). Low-strength evidence suggests that adding supportive text messaging to follow-up care improves abstinence and amount of alcohol per day (2 RCTs) but does not improve emergency department visits or frequency of consumption (2 RCTs). Enhanced telephone monitoring likely reduces readmissions for SUD detoxification compared with usual follow-up alone (1 RCT) but does not reduce days of substance use (low-strength evidence). LIMITATION: Narrative synthesis, heterogeneity of telehealth interventions, no assessment of publication bias, and study methodology. CONCLUSION: Evidence is very uncertain that telehealth is similar to in-person care for SUD outcomes. Limited evidence suggests some benefit of adding telehealth to usual SUD care. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Veterans Health Administration.

The Management of Substance Use Disorders: Synopsis of the 2021 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline.

DESCRIPTION: In August 2021, leadership within the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved a joint clinical practice guideline (CPG) for the management of substance use disorders (SUDs). This synopsis summarizes key recommendations. METHODS: In March 2020, the VA/DoD Evidence-Based Practice Work Group assembled a team to update the 2015 VA/DoD Clinical Practice Guideline for the Management of Substance Use Disorders that included clinical stakeholders and conformed to the National Academy of Medicine's tenets for trustworthy CPGs. The guideline panel developed key questions, systematically searched and evaluated the literature, created two 1-page algorithms, and distilled 35 recommendations for care using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. This synopsis presents the recommendations that were believed to be the most clinically impactful. RECOMMENDATIONS: The scope of the CPG is broad; however, this synopsis focuses on key recommendations for the management of alcohol use disorder, use of buprenorphine in opioid use disorder, contingency management, and use of technology and telehealth to manage patients remotely.

Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes.

Sequential, multiple assignment, randomized trials (SMARTs) compare sequences of treatment decision rules called dynamic treatment regimes (DTRs). In particular, the Adaptive Treatment for Alcohol and Cocaine Dependence (ENGAGE) SMART aimed to determine the best DTRs for patients with a substance use disorder. While many authors have focused on a single pairwise comparison, addressing the main goal involves comparisons of >2 DTRs. For complex comparisons, there is a paucity of methods for binary outcomes. We fill this gap by extending the multiple comparisons with the best (MCB) methodology to the Bayesian binary outcome setting. The set of best is constructed based on simultaneous credible intervals. A substantial challenge for power analysis is the correlation between outcome estimators for distinct DTRs embedded in SMARTs due to overlapping subjects. We address this using Robins' G-computation formula to take a weighted average of parameter draws obtained via simulation from the parameter posteriors. We use non-informative priors and work with the exact distribution of parameters avoiding unnecessary normality assumptions and specification of the correlation matrix of DTR outcome summary statistics. We conduct simulation studies for both the construction of a set of optimal DTRs using the Bayesian MCB procedure and the sample size calculation for two common SMART designs. We illustrate our method on the ENGAGE SMART. The R package SMARTbayesR for power calculations is freely available on the Comprehensive R Archive Network (CRAN) repository. An RShiny app is available at https://wilart.shinyapps.io/shinysmartbayesr/.

Testing mediational processes of substance use relapse among youth who participated in a mobile texting aftercare project.

BACKGROUND: The goal of this paper is to advance the understanding of mechanisms of action involved in behavioral-driven aftercare interventions for substance use disorders (SUDs) among youth populations. This paper reports data from a study that measured the impact of an aftercare intervention on primary substance use relapse among youth who completed treatment in Los Angeles County for SUDs. The aftercare intervention, Project ESQYIR-Educating and Supporting inQuisitive Youth In Recovery, utilized text messaging to monitor relapse and recovery processes, provide feedback, reminders, support, and education among youth from SUD specialty settings during the initial 3-month period following treatment completion.Method: Mediational modeling informed by Baron and Kenny was used to examine the extent to which select recovery processes including participation in extracurricular activities and self-help, were impacted by the texting intervention, and if such processes helped sustain recovery and prevent primary substance use relapse. The data come from a two-group randomized controlled pilot study testing the initial efficacy of a mobile health texting aftercare intervention among 80 youth (Mage= 20.7, SD = 3.5, range: 14-26 years) who volunteered to participate after completing SUD treatment between 2012 and 2013.Results: Among the two recovery processes examined in the mediational modeling, only involvement in extracurricular activities mediated the effects of the texting aftercare intervention on reductions in primary substance use relapse; not self-help participation.Conclusion: Findings from this pilot study offer greater understanding about potential recovery-related mechanisms of action of mobile aftercare interventions. Mobile texting was found to promote increased engagement in recovery-related behaviors such as participation in extracurricular activities, which mediated the effects of the mobile aftercare intervention on decreasing primary substance use relapse. Findings suggest mobile approaches may be effective for increasing adherence to a wide-array of recovery behavioral regiments among youth populations challenged by complex behavioral issues.

Power analysis in a SMART design: sample size estimation for determining the best embedded dynamic treatment regime.

Sequential, multiple assignment, randomized trial (SMART) designs have become increasingly popular in the field of precision medicine by providing a means for comparing more than two sequences of treatments tailored to the individual patient, i.e., dynamic treatment regime (DTR). The construction of evidence-based DTRs promises a replacement to ad hoc one-size-fits-all decisions pervasive in patient care. However, there are substantial statistical challenges in sizing SMART designs due to the correlation structure between the DTRs embedded in the design (EDTR). Since a primary goal of SMARTs is the construction of an optimal EDTR, investigators are interested in sizing SMARTs based on the ability to screen out EDTRs inferior to the optimal EDTR by a given amount which cannot be done using existing methods. In this article, we fill this gap by developing a rigorous power analysis framework that leverages the multiple comparisons with the best methodology. Our method employs Monte Carlo simulation to compute the number of individuals to enroll in an arbitrary SMART. We evaluate our method through extensive simulation studies. We illustrate our method by retrospectively computing the power in the Extending Treatment Effectiveness of Naltrexone (EXTEND) trial. An R package implementing our methodology is available to download from the Comprehensive R Archive Network.

Integrative data analysis of self-efficacy in 4 clinical trials for alcohol use disorder.

BACKGROUND: Self-efficacy has been proposed as a key predictor of alcohol treatment outcomes and a potential mechanism of success in achieving abstinence or drinking reductions following alcohol treatment. Integrative data analysis, where data from multiple studies are combined for analyses, can be used to synthesize analyses across multiple alcohol treatment trials by creating a commensurate measure and controlling for differential item functioning (DIF) to determine whether alcohol treatments improve self-efficacy. METHOD: The current study used moderated nonlinear factor analysis (MNLFA) to examine the effect of treatment on self-efficacy across four different treatment studies (N = 3720; 72.5% male, 68.4% non-Hispanic white). Self-efficacy was measured using the Alcohol Abstinence Self-Efficacy Scale (AASE) in the COMBINE Study (n = 1383) and Project MATCH (n = 1726), and the Drug Taking Confidence Questionnaire (DTCQ) in two studies of Telephone Continuing Care (TEL Study 1: n = 303; TEL Study 2: n = 212). DIF was examined across time, study, treatment condition, marital status, age, and sex. RESULTS: We identified 12 items from the AASE and DTCQ to create a commensurate measure of self-efficacy using MNLFA. All active treatments, including cognitive-behavioral treatment, a combined behavioral intervention, medication management, motivation enhancement treatment, telephone continuing care, twelve-step facilitation, and relapse prevention, were associated with significant increases in self-efficacy from baseline to posttreatment that were maintained for up to a year. Importantly, treatment as usual in community settings, which consisted of weekly group therapy that included addiction counseling and twelve-step recovery support, was not associated with significant increases in self-efficacy. CONCLUSIONS: Alcohol self-efficacy increases following treatment and numerous evidence-based treatments are associated with significant increases in self-efficacy, which are maintained over time. Community treatment that focuses solely on addiction counseling and twelve-step support may not promote increases in self-efficacy.

Reports of the benefits of drug use from individuals with substance use disorders.

Background: The perceived benefits of drug use are not currently integrated into the treatment of substance use disorder. This omission appears paradoxical and is unsubstantiated by empirical research. As the perceived benefits of drug use are catalysts for drug initiation, relapse and continuous use, increased knowledge about these benefits seems crucial to efficacious treatment. Aims: To investigate the perceived benefits of drug use in substance use disorder. Method: The study is a phenomenological-hermeneutical investigation using thematic analysis of interviews with 30 long-term recovered adult service users. Results: Our thematic analysis resulted in three themes and several sub-themes: (1) Benefits of drug use; (2) Necessity of intense experiences; and (3) Importance of being unconventional. Conclusions: Findings indicate that the benefits of non-problematic and problematic drug use are motivated by similar individual and social needs. An absolute distinction between problematic and non-problematic drug use thus seems arbitrary and potentially counterproductive for clinical practice. The benefits of drug use should be researched as a possible add-on treatment module, as this knowledge may be of significant clinical value in treatment frameworks.

Effects of Social Support and 12-Step Involvement on Recovery among People in Continuing Care for Cocaine Dependence.

Background: Social networks that support recovery lead to enhanced treatment outcomes and sobriety regardless if this support stems from family, peer groups or 12-Step programs. Treatment process factors including readiness to change and commitment to abstinence also impact substance use. However, little is understood about the relationship between social support to treatment process factors during and after treatment for substance use disorders. Objectives: To identify the ways in which different social networks foster substance use change in a sample of individuals with cocaine dependence from intensive outpatient programs (IOPs). Methods: Data were drawn from two studies examining adults (N = 489) with cocaine dependence in IOPs for substance use disorders collected between 2004 and 2009. Assessment data were collected at 3- to 6-month intervals from baseline to 24-months and included the University of Rhode Island change assessment questionnaire, timeline followback, thoughts about abstinence, perceived social support - friend, and family versions and analyzed using GEE and mediational analyses. Results: Greater perceived friend social support was associated with greater readiness to change whereas greater perceived familial social support was associated with substance use goal; greater social support from both friends and family were associated with less substance use. Greater AA/NA participation was associated with substance use goal and readiness to change, and less substance use. Substance use goals partially mediated the impact of social support on later substance use. Conclusions/Importance: While peer and familial support are key to sustained recovery, their impact differentially affects treatment process variables. This information could be used to inform social support treatment interventions.

A Data Analysis Method for Using Longitudinal Binary Outcome Data from a SMART to Compare Adaptive Interventions.

Sequential multiple assignment randomized trials (SMARTs) are a useful and increasingly popular approach for gathering information to inform the construction of adaptive interventions to treat psychological and behavioral health conditions. Until recently, analysis methods for data from SMART designs considered only a single measurement of the outcome of interest when comparing the efficacy of adaptive interventions. Lu et al. proposed a method for considering repeated outcome measurements to incorporate information about the longitudinal trajectory of change. While their proposed method can be applied to many kinds of outcome variables, they focused mainly on linear models for normally distributed outcomes. Practical guidelines and extensions are required to implement this methodology with other types of repeated outcome measures common in behavioral research. In this article, we discuss implementation of this method with repeated binary outcomes. We explain how to compare adaptive interventions in terms of various summaries of repeated binary outcome measures, including average outcome (area under the curve) and delayed effects. The method is illustrated using an empirical example from a SMART study to develop an adaptive intervention for engaging alcohol- and cocaine-dependent patients in treatment. Monte Carlo simulations are provided to demonstrate the good performance of the proposed technique.

Meta-Analysis of the Association of Alcohol-Related Social Media Use with Alcohol Consumption and Alcohol-Related Problems in Adolescents and Young Adults.

Despite the pervasive use of social media by young adults, there is comparatively little known about whether, and how, engagement in social media influences this group's drinking patterns and risk of alcohol-related problems. We examined the relations between young adults' alcohol-related social media engagement (defined as the posting, liking, commenting, and viewing of alcohol-related social media content) and their drinking behavior and problems. We conducted a systematic review and meta-analysis of studies evaluating the association of alcohol consumption and alcohol-related problems with alcohol-related social media engagement. Summary baseline variables regarding the social media platform used (e.g., Facebook and Twitter), social media measures assessed (e.g., number of alcohol photographs posted), alcohol measures (e.g., Alcohol Use Disorders Identification Test and Timeline Follow back Interview), and the number of time points at which data were collected were extracted from each published study. We used the Q statistic to examine heterogeneity in the correlations between alcohol-related social media engagement and both drinking behavior and alcohol-related problems. Because there was significant heterogeneity, we used a random-effects model to evaluate the difference from zero of the weighted aggregate correlations. We used metaregression with study characteristics as moderators to test for moderators of the observed heterogeneity. Following screening, 19 articles met inclusion criteria for the meta-analysis. The primary findings indicated a statistically significant relationship and moderate effect sizes between alcohol-related social media engagement and both alcohol consumption (r = 0.36, 95% CI: 0.29 to 0.44, p < 0.001) and alcohol-related problems (r = 0.37, 95% CI: 0.21 to 0.51, p < 0.001). There was significant heterogeneity among studies. Two significant predictors of heterogeneity were (i) whether there was joint measurement of alcohol-related social media engagement and drinking behavior or these were measured on different occasions and (ii) whether measurements were taken by self-report or observation of social media engagement. We found moderate-sized effects across the 19 studies: Greater alcohol-related social media engagement was correlated with both greater self-reported drinking and alcohol-related problems. Further research to determine the causal direction of these associations could provide opportunities for social media-based interventions with young drinkers aimed at reducing alcohol consumption and alcohol-related adverse consequences.

Feasibility and Effects of Digital Interventions to Support People in Recovery From Substance Use Disorders: Systematic Review.

BACKGROUND: The development and evaluation of digital interventions aimed at preventing or treating substance use-related problems and disorders is a rapidly growing field. Previous reviews of such interventions reveal a large and complex picture with regard to targeted users, use, and efficacy. OBJECTIVE: The objective of this review was to investigate the feasibility and effects of interventions developed specifically for digital platforms. These interventions are focused on supporting people in recovery from substance use disorders by helping them achieve their substance use goals and develop a more satisfying life situation. METHODS: The review is based on a systematic search in MEDLINE, Embase, PsycInfo, and Cochrane Library databases. Of the 1149 identified articles, 722 were excluded as obviously not relevant. Of the remaining articles, 21 were found to be previous reviews, 269 were on interventions aimed at reducing hazardous alcohol or cannabis use, and 94 were on digitized versions of standard treatment methods. The remaining 43 articles were all read in full and systematically scored by both authors. RESULTS: The 43 articles cover 28 unique interventions, of which 33 have been published after 2013. The interventions are aimed at different target groups (defined by age, substance, or comorbidity). Based on the number of features or modules, the interventions can be categorized as simple or complex. Fourteen of the 18 simple interventions and 9 of the 10 complex interventions have been studied with quantitative controlled methodologies. Thirteen of the 18 simple interventions are integrated in other treatment or support systems, mainly delivered as mobile phone apps, while 6 of the 10 complex interventions are designed as stand-alone interventions, most often delivered on a platform combining desktop/Web and mobile phone technologies. The interventions were generally easy to implement, but in most cases the implementation of the complex interventions was found to be dependent on sustained organizational support. Between 70% and 90% of the participants found the interventions to be useful and easy to use. The rates of sustained use were also generally high, except for simple interventions with an open internet-based recruitment and some information and education modules of the complex interventions. Across all interventions, slightly more than half (55%) of the studies with control groups generated positive findings on 1 or more substance use outcomes, with 57% of the interventions also found to be efficacious in 1 or more studies. In the positive studies, effects were typically in the small to moderate range, with a few studies yielding larger effects. Largely due to the inclusion of stronger control conditions, studies of simple interventions were less likely to produce positive effects. CONCLUSIONS: The digital interventions included in this review are in general feasible but are not consistently effective in helping people in recovery from substance use disorder reduce their substance use or achieving other recovery goals.

Effect of continuing care for people with cocaine dependence on criminal justice sentences.

While continuing care for substance use treatment has been associated with reduced involvement in the criminal justice system, much of this research lacks random assignment to continuing care and so is limited by self-selection bias. This study sought to determine the impact of adding telephone-based continuing care to intensive outpatient programs on criminal justice outcomes for people with cocaine dependence. In three continuing care studies, spanning 1998-2008, participants were randomly assigned to an intensive outpatient program or an intensive outpatient program plus a telephone-based continuing care intervention. Cocaine-dependent participants from these three studies were included in the analyses, with outcomes derived from a dataset of jurisdiction-wide criminal sentences from a state sentencing agency. Multiple logistic regression was employed to examine the odds of a criminal conviction occurring in the 4 years after enrollment in a continuing care study. The results showed that, controlling for a criminal sentence in the previous year, gender, age, and continuing care study, people with cocaine dependence randomized to an intensive outpatient program plus a telephone-based continuing care intervention had 54% lower odds (p = 0.05, odds ratio = 0.46, 95% CI: 0.20-1.02) of a criminal sentence in the 4 years after enrollment in the continuing care study, compared with those randomized to an intensive outpatient program alone. We can conclude that adding telephone monitoring and counseling to intensive outpatient programs is associated with fewer criminal convictions over a 4-year follow-up period compared with intensive outpatient programs alone.

Effect of Continuing Care for Cocaine Dependence on HIV Sex-Risk Behaviors.

Evaluate the effect of continuing care interventions for cocaine use with HIV risk-reduction components on HIV sex-risk. Explore whether cocaine use at treatment initiation interacts with the type of continuing care intervention to affect HIV sex-risk. Cocaine dependent participants (N = 321) were randomized to: (1) Treatment as usual (TAU): intensive outpatient treatment, (2) TAU and telephone monitoring and counseling (TMC), and (3) TAU and TMC plus incentives for participation in telephone contacts (TMC+). Participants in TMC and TMC+ received a brief HIV intervention, with booster sessions as needed. Generalized estimating equations analysis compared TAU, TMC and TMC+ at 6, 12, 18, 24 months post-baseline on the following outcomes: overall HIV sex-risk, number of sexual partners, condom usage, exchange of drugs for sex, exchange of sex for drugs, exchange of money for sex, exchange of sex for money, and crack house visits. Overall sex-risk decreased for all treatment conditions at follow-up, with no treatment main effects. For people with no cocaine use at baseline, TAU experienced greater sex-risk reductions than TMC (p < .01) and TMC+ (p < .001). The three treatment conditions are effective in reducing HIV sex-risk. TMC with HIV risk-reduction components is unnecessary for cocaine-dependent clients who stop using cocaine early in treatment.

Challenges to Practicing HIV Sex-Risk Prevention Among People in Continuing Care for Cocaine Addiction.

BACKGROUND: Intimate partnerships are discouraged during early recovery, despite research that highlights their capacity to be resources for change. OBJECTIVE: This study seeks to provide descriptions of intimate partnerships and how such partnerships challenge and/or support minimizing HIV sex-risk among participants in continuing care for cocaine addiction in order to inform substance use programming. METHODS: Forty-two recorded continuing care counseling sessions of 33 people who discussed HIV sex-risk behavior were transcribed and analyzed using thematic analysis. This sample was derived from a larger randomized controlled trial that looked at the impact of a continuing care intervention for people with cocaine use problems. RESULTS: Although participants expressed the desire for a primary intimate partnership, casual intimate partnerships that often involved HIV sex-risk behavior were more prevalent. Challenges to having a primary intimate partner included the belief that intimate partnerships do not support recovery, difficulty in developing friendships with women among heterosexual men, and the ubiquity of drug use and sex work in home environments with limited economic opportunity. Despite these challenges, some participants reported having primary intimate partners that supported their recovery through open communication. CONCLUSION: Clinicians providing substance use interventions can consider encouraging components of intimate partnerships that support recovery. In addition, the strong environmental influence on individual HIV sex-risk behavior should be considered in delivering any substance use intervention.

Treatment choices and subsequent attendance by substance-dependent patients who disengage from intensive outpatient treatment.

In an effort to increase engagement in effective treatment, we offered a choice of alternate evidence-based treatments to 137 alcohol- or cocaine-dependent adults (110 males, 27 females) who entered an intensive outpatient program (IOP) but disengaged within the first 8 weeks. We hypothesized that disengaged patients would choose and subsequently attend alternatives to IOP when given the chance, that their choices would be consistent with their previously-stated preferences, and that demographic and clinical characteristics would be predictive of alternatives chosen. Of 96 participants reached by phone, 19% chose no treatment; 49% chose to return to IOP; 24% chose individual psychotherapy; 6% chose telephone counseling; 2% chose naltrexone with medication management. There were few relationships between participant characteristics and choices made upon disengagement. Participants who chose alternative treatments were equally likely to attend their chosen treatment as those who chose IOP. Limited interest in alternative treatments may reflect allegiance to IOP, which was initially chosen by all participants. Implications for implementation of patient-centered adaptive treatment are discussed.

A randomized clinical trial of alcohol care management delivered in Department of Veterans Affairs primary care clinics versus specialty addiction treatment.

BACKGROUND: Alcohol use disorder is one of the leading causes of disability worldwide. Despite the availability of efficacious treatments, few individuals with an alcohol use disorder are actively engaged in treatment. Available evidence suggests that primary care may play a crucial role in the identification of patients with an alcohol use disorder, delivery of interventions, and the success of treatment. OBJECTIVE: The principal aims of this study were to test the effectiveness of a primary care-based Alcohol Care Management (ACM) program for alcohol use disorder and treatment engagement in veterans. DESIGN: The design of the study was a 26-week single-blind randomized clinical trial. The study was conducted in the primary care practices at three VA medical centers. Participants were randomly assigned to treatment in ACM or standard treatment in a specialty outpatient addiction treatment program. PARTICIPANTS: One hundred and sixty-three alcohol-dependent veterans were randomized. INTERVENTION: ACM focused on the use of pharmacotherapy and psychosocial support. ACM was delivered in-person or by telephone within the primary care clinic. MAIN MEASUREMENTS: Engagement in treatment and heavy alcohol consumption. KEY RESULTS: The ACM condition had a significantly higher proportion of participants engaged in treatment over the 26 weeks [OR = 5.36, 95 % CI = (2.99, 9.59)]. The percentage of heavy drinking days were significantly lower in the ACM condition [OR = 2.16, 95 % CI = (1.27, 3.66)], while overall abstinence did not differ between groups. CONCLUSIONS: Results demonstrate that treatment for an alcohol use disorder can be delivered effectively within primary care, leading to greater rates of engagement in treatment and greater reductions in heavy drinking.

Social network correlates of participation in telephone continuing care for alcohol dependence.

BACKGROUND AND OBJECTIVES: Research on face-to-face treatment for substance misuse suggests that patients' social networks may impact treatment entry and participation, but there has been no similar research on entry and participation in telephone-based continuing care. We examined whether alcohol-specific social support predicted engagement and participation in telephone continuing care for alcohol dependence, and whether treatment participation resulted in beneficial changes in participants' social networks. METHODS: Participants were 252 adults (162 male) enrolled in a randomized clinical trial testing the effectiveness of telephone continuing care for alcohol dependence. Participants who completed 3 weeks of intensive outpatient treatment were randomly assigned to treatment as usual, telephone monitoring (TM; N = 83), or telephone monitoring and brief counseling (TMC; N = 83). TM and TMC included 18 months of telephone treatment. Alcohol-specific social support was measured with the Important People Inventory at baseline and 6, 12, 18, and 24-month follow-up. RESULTS: Alcohol-specific social support did not predict entry into TM or TMC. Among those who entered telephone treatment (N = 127), participants with higher network percentage of daily drinkers, higher percentage of network members who accept drinking, and lower percentage of network members who do not accept drinking completed more continuing care calls. There was no effect of continuing care participation on alcohol-specific social support over 24 months of follow-up. CONCLUSION: Participants with more problematic social networks may self-select additional support in the form of telephone continuing care. Telephone continuing care does not appear to result in social network change.

Nationwide dissemination of contingency management: the Veterans Administration initiative.

BACKGROUND: Contingency management (CM) is an empirically validated intervention but one not often applied in practice settings in the US. OBJECTIVES: The aim of this article is to describe the Veterans Administration (VA) nationwide implementation of CM treatment. METHODS: In 2011, the VA called for integration of CM in its intensive outpatient substance abuse treatment clinics. As part of this initiative, the VA funded training and ongoing implementation support, and it provided direct funds for reinforcers and other intervention costs. RESULTS: Over 100 clinics received this funding in 2011, and CM has been implemented in over 70 substance abuse treatment clinics since August 2011. CONCLUSIONS: This training and implementation experience has been highly successful and represents the largest scale training in evidence-based treatments for substance use disorders in the VA health care system to date. SCIENTIFIC SIGNIFICANCE: This program may serve as a model for training in evidence-based treatments.