Contingency management for substance use disorders in the U.S. Veterans Health Administration: 2018-2022.

INTRODUCTION: Contingency management (CM) is one of the most effective interventions for substance use disorders (SUDs), including stimulant use disorder. In the United States, the Veterans Health Administration (VHA) led the largest-scale rollout of CM in the US to date, but little is known about characteristics of patients treated and CM clinical practices. METHODS: In this retrospective cohort study, we used VHA electronic health records data to descriptively examine CM treatment course (e.g., number of visits, time between visits, duration of treatment episode) and characteristics of patients receiving CM for SUDs from 2018 to 2022. RESULTS: From January 2018 to September 2022, 2844 patients received CM at 90 VA Health Systems (including 98 VA Medical Center, 7 community-based outpatient clinics, and 15 other sites). The median number of CM visits was 8 (mean = 10.17, SD = 8.12) visits over the course of 1.5 months (median = 45 days, mean = 57.46 days, SD = 62.65). The target substance was stimulants in 86.42 % of visits. Average age of patients was 52.29 years (SD = 12.10), with 55.06 % of patients experiencing homelessness or housing instability, and 97.50 % of patients diagnosed with more than one SUD. Compared to the year prior to the COVID-19 pandemic (03/2019-02/2020; mean = 957.33, SD = 157.71 visits/month), CM visits declined by 83.20 % in the year following the pandemic (03/2020-02/2021; mean = 160.83, SD = 164.14), and have yet to return to pre-pandemic levels. CONCLUSIONS: The CM rollout has been markedly successful in the VHA, with adoption across multiple VHA sites within a complex patient population, indicating the potential for effective, more widespread CM implementation. At the same time, there was a considerable reduction in CM care during the COVID-19 pandemic and CM has not yet returned to pre-pandemic levels. Moreover, only a small minority of VA patients with stimulant use disorder have received CM. Given increasing rates of overdose, including stimulant-involved overdose, it is important to increase CM provision in VHA and non-VHA settings.

Examining cocaine use reductions and long-term outcomes in two clinical trials of continuing care for cocaine dependence.

BACKGROUND: There is a need to identify clinically meaningful non-abstinent endpoints for cocaine use disorder (CUD) clinical trials. In this study, we sought to replicate and extend prior work validating reductions in cocaine use frequency levels as an endpoint by examining associations between reductions in cocaine use frequency and long-term functioning outcomes. METHODS: We conducted a secondary analysis of two randomized clinical trials (N = 445; 77.5 % male; mean age = 42.18 years; 86.5 % Black, 10.8 % non-Hispanic white) that evaluated telephone-based continuing care for a 12- and 24-month period. Cocaine use frequency levels, measured with the Timeline Followback, were (1) abstinence (no past-month cocaine use), (2) low-frequency use (1-4 days of use/month), and (3) high-frequency use (5+ days of use/month). RESULTS: Among those who completed the 12-month follow-up (n = 392), most reduced from high-frequency use at baseline to abstinence at the 12-month follow-up (n = 243; 62.0 %). An additional 21.2 % (n = 83) reported either high-to-low-frequency use (n = 35; 8.9 %) or low use-to-abstinence (n = 48; 12.2 %); 16.8 % of participants (n = 66) did not change or increased their cocaine frequency level. Compared to those who had no change/increases in frequency levels, at least a one-level reduction from baseline to 12-month follow-up (i.e., high-to-low-frequency use, high-to-abstinence, low-to-abstinence) was concurrently associated with lower levels of negative consequences at the 12-month follow-up and prospectively with lower levels of cocaine use and consequences at 24-month follow-up, with effect sizes in the medium-to-large range. Those who reduced to abstinence generally had fewer drug use consequences at the 12-month follow-up than those who reduced to a low-frequency level; however, these groups did not significantly differ on any outcomes at the 24-month follow-up. CONCLUSIONS: Categorical reductions in cocaine use frequency levels, including those short of abstinence, are associated with less cocaine use and lower problem severity up to two years following treatment entry. Low-frequency cocaine use following the initial treatment phase does not appear to forebode worsening functioning, such as escalations in cocaine use.

Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers.

The COVID pandemic placed a spotlight on alcohol use and the hardships of working within the food and beverage industry, with millions left jobless. Following previous studies that have found elevated rates of alcohol problems among bartenders and servers, here we studied the alcohol use of bartenders and servers who were employed during COVID. From February 12-June 16, 2021, in the midst of the U.S. COVID national emergency declaration, survey data from 1,010 employed bartender and servers were analyzed to quantify rates of excessive or hazardous drinking along with regression predictors of alcohol use as assessed by the 10-item Alcohol Use Disorders Identification Test (AUDIT). Findings indicate that more than 2 out of 5 (44%) people surveyed reported moderate or high rates of alcohol problem severity (i.e., AUDIT scores of 8 or higher)-a rate 4 to 6 times that of the heavy alcohol use rate reported pre- or mid-pandemic by adults within and outside the industry. Person-level factors (gender, substance use, mood) along with the drinking habits of one's core social group were significantly associated with alcohol use. Bartenders and servers reported surprisingly high rates of alcohol problem severity and experienced risk factors for hazardous drinking at multiple ecological levels. Being a highly vulnerable and understudied population, more studies on bartenders and servers are needed to assess and manage the true toll of alcohol consumption for industry employees.

Should contingency management protocols and dissemination practices be modified to accommodate rising stimulant use and harm reduction frameworks?

BACKGROUND: Stimulant-related overdoses have increased dramatically, with almost 50% of overdoses in the United States now involving stimulants. Additionally, harm-reduction approaches are increasingly seen as key to reducing the negative impact of substance use. Contingency management (CM), the provision of financial incentives for abstinence, is the most effective treatment for stimulant use disorder, but historically has not been widely implemented. Many recent, large-scale implementation efforts have relied upon foundational CM protocols that may not sufficiently account for recent increases in the prevalence and lethality of stimulant use nor the growing preference for harm reduction versus abstinence-only frameworks. ARGUMENT: We argue the need to (1) consider whether and how CM protocols might be modified to address rising stimulant use and harm reduction frameworks and (2) make CM widely accessible so that it can reduce population-level stimulant use while ensuring that it is delivered with fidelity to its basic principles. Proposed changes include changing CM reinforcement schedules to emphasize treatment engagement and reductions in use in addition to abstinence, changing guidelines on the duration of and re-engagement in CM, investing in research on virtual CM, incentivizing providers and health systems to deliver CM, making it easier to purchase and use point-of-care drug screens, using direct-to-consumer marketing to increase demand for CM and adapting CM to the community in which it is being implemented. CONCLUSIONS: Our proposed modifications to contingency management (CM) protocols and accessibility may more effectively address rising stimulant use and align CM more closely with harm-reduction frameworks. Given the urgent need to reduce overdose deaths, developing and testing modified CM protocols may need to rely upon methods other than randomized controlled trials. Efforts to disseminate CM widely to reduce population-level stimulant use must be balanced with the need to maintain fidelity to CM's basic principles.

Acceptability and feasibility of a mobile behavioral economic health intervention to reduce alcohol use in adults in rural areas.

Background: At-risk alcohol use is associated with increased adverse health consequences, yet is undertreated in healthcare settings. People residing in rural areas need improved access to services; however, few interventions are designed to meet the needs of rural populations. Mobile interventions can provide feasible, low-cost, and scalable means for reaching this population and improving health, and behavioral economic approaches are promising. Methods: We conducted a pilot randomized controlled trial focused on acceptability and feasibility of a mobile behavioral economic intervention for 75 rural-residing adults with at-risk alcohol use. We recruited participants from a large healthcare system and randomized them to one of four virtually-delivered conditions reflecting behavioral economic approaches: episodic future thinking (EFT), volitional choice (VC), both EFT and VC, or enhanced usual care control (EUC). The intervention included a telephone-delivered induction session followed by two weeks of condition-consistent ecological momentary interventions (EMIs; 2x/day) and ecological momentary assessments (EMAs; 1x/day). Participants completed assessments at baseline, post-intervention, and two-month follow-up, and provided intervention feedback. Results: All participants completed the telephone-delivered session and elected to receive EMI messages. Average completion rate of EMAs across conditions was 92.9%. Among participants in active intervention conditions, 89.3% reported the induction session was helpful and 80.0% reported it influenced their future drinking. We also report initial alcohol use outcomes. Discussion: The behavioral economic intervention components and trial procedures evaluated here appear to be feasible and acceptable. Next steps include determination of their efficacy to reduce alcohol use and public health harms.

Using causal mediation to examine self-efficacy as a mechanism through which continuing care interventions reduce alcohol use.

OBJECTIVE: Understanding the causal mechanisms through which telephone and mobile health continuing care approaches reduce alcohol use can help develop more efficient interventions that effectively target these mechanisms. Self-efficacy for successfully coping with high-risk alcohol relapse situations is a theoretically and empirically supported mediator of alcohol treatment. This secondary analysis aims to examine self-efficacy as a mechanism through which remote-delivered continuing care interventions reduce alcohol use. METHOD: The study included 262 adults (Mage = 46.9, SD = 7.4) who had completed 3 weeks of an intensive outpatient alcohol treatment program. The sample was predominantly male (71%), African American (82%), and completed a high school education (71%). The four-arm randomized clinical trial compared three active continuing care interventions (telephone monitoring and counseling [TMC], addiction comprehensive health enhancement support system [ACHESS], and combined delivery of TMC and ACHESS) to usual care and assessed longitudinal measures of alcohol use and self-efficacy. Analyses employed the potential outcomes framework and sensitivity analyses to address threats to causal inference resulting from an observed mediator variable. RESULTS: Relative to usual care, the two intervention conditions that included TMC reduced alcohol use through improvements to self-efficacy. There was no evidence that self-efficacy mediated the effect of ACHESS on alcohol use. CONCLUSIONS: Based on our findings, self-efficacy is an important mechanism through which telephone continuing care interventions affect alcohol use. Future research to identify which components of TMC influence self-efficacy and factors that mediate ACHESS effects could enhance the effectiveness of remote delivery of continuing care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Language-based EMA assessments help understand problematic alcohol consumption.

BACKGROUND: Unhealthy alcohol consumption is a severe public health problem. But low to moderate alcohol consumption is associated with high subjective well-being, possibly because alcohol is commonly consumed socially together with friends, who often are important for subjective well-being. Disentangling the health and social complexities of alcohol behavior has been difficult using traditional rating scales with cross-section designs. We aim to better understand these complexities by examining individuals' everyday affective subjective well-being language, in addition to rating scales, and via both between- and within-person designs across multiple weeks. METHOD: We used daily language and ecological momentary assessment on 908 US restaurant workers (12692 days) over two-week intervals. Participants were asked up to three times a day to "describe your current feelings", rate their emotions, and report their alcohol behavior in the past 24 hours, including if they were drinking alone or with others. RESULTS: Both between and within individuals, language-based subjective well-being predicted alcohol behavior more accurately than corresponding rating scales. Individuals self-reported being happier on days when drinking more, with language characteristic of these days predominantly describing socializing with friends. Between individuals (over several weeks), subjective well-being correlated much more negatively with drinking alone (r = -.29) than it did with total drinking (r = -.10). Aligned with this, people who drank more alone generally described their feelings as sad, stressed and anxious and drinking alone days related to nervous and annoyed language as well as a lower reported subjective well-being. CONCLUSIONS: Individuals' daily subjective well-being, as measured via language, in part, explained the social aspects of alcohol drinking. Further, being alone explained this relationship, such that drinking alone was associated with lower subjective well-being.

Nonopioid Substance Use among Patients Who Recently Initiated Office-based Buprenorphine Treatment.

OBJECTIVES: Medications for opioid use disorder (MOUDs) like buprenorphine are a first-line treatment for individuals who have opioid use disorder (OUD); however, these medications are not designed to impact the use of other classes of drugs. This descriptive study provides up-to-date information about nonopioid substance use among patients who recently initiated office-based buprenorphine treatment for OUD using data from 2 ongoing clinical trials. METHODS: The study sample was composed of 257 patients from 6 federally qualified health centers in the mid-Atlantic region who recently (i.e., within the past 28 days) initiated office-based buprenorphine treatment between July 2020 and May 2022. After the screening and informed consent processes, participants completed a urine drug screen and psychosocial interview as a part of the study baseline assessment. Descriptive analyses were performed on urine drug screen results to identify the prevalence and types of substances detected. RESULTS: More than half of participants provided urine specimens that were positive for nonopioid substances, with marijuana (37%, n = 95), cocaine (22%, n = 56), and benzodiazepines (11%, n = 28) detected with the highest frequencies. CONCLUSIONS: A significant number of participants used nonopioid substances after initiating buprenorphine treatment, suggesting that some patients receiving MOUDs could potentially benefit from adjunctive psychosocial treatment and supports to address their nonopioid substance use.

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.

Towards shortening the Brief Addiction Monitor-Revised (BAM-R).

Introduction: The Brief Addiction Monitor-Revised (BAM-R) is a widely used, 17-item assessment of substance use, risk, and protective factors associated with recovery from substance use disorders. Despite wide adoption in the U.S. Department of Veterans Affairs (VA) and recommendations for use in measurement-based care (MBC), administration may not be feasible in many MBC settings due to time constraints. The purpose of this study was to derive a shortened version of the BAM-R for use in fast-paced healthcare settings. Methods: BAM-R data from 32,002 Veterans were obtained through the VA's Corporate Data Warehouse. We used logistic regression models to identify items for removal based on prediction of two clinical outcomes (90-day substance use disorder (SUD) treatment retention and 12-month mortality) and item-level sensitivity to change during substance use treatment. Results: Although no intake BAM-R items predicted SUD treatment retention or mortality, effect sizes for item-level sensitivity to change during substance use treatment varied from small to large. Seven items were judged as relevant for MBC of SUD. Among all BAM-R items, Heavy Alcohol Use, Self-Help, Drug Use, Craving, and Mood items demonstrated the greatest magnitude of sensitivity to change. Conclusions: Although additional research is recommended before a shortened BAM-R can be implemented in non-specialty MBC settings, we identified 5 BAM-R items with perceived clinical utility and scores that demonstrated evidence of sensitivity to change. Shortening the BAM-R increases feasibility of use, though more work is needed to optimize measurement for SUD MBC.

Study protocol for a sequential multiple assignment randomized trial to reduce risky drinking among service members and their partners.

BACKGROUND: Military spouses and partners in relationships with a heavy drinking service member report high levels of mental health concerns and consequences, which are compounded when both partners drink heavily. Military spouses and partners -termed "concerned partners" (CPs)-may be an important gateway for motivating service members (SMs) to seek care. However, CPs may first need to reduce their own drinking and improve their communication to effectively support and encourage changes for their service member partner. Partners Connect is a web-based intervention aimed at improving communication and relationship quality and increasing SM help-seeking. METHODS: The current study design is a two-stage Sequential Multiple Assignment Randomized Trial (SMART) to develop an adaptive CP intervention to decrease CP drinking and increase SM help-seeking. CPs aged 18 and older (n = 408) will be recruited via social media and followed for six months. In stage one, we will randomize CPs to either a 4-session web-based intervention (Partners Connect) or to receive communication resources from the Gottman Institute website. The goal is to have CPs invite their SM to complete an online personalized normative feedback (PNF) session. If their SM completes the PNF at stage one, CPs will be considered "responders," if the SM does not complete, CPs who are "non-responders" will be re-randomized during stage two to receive either (1) a CRAFT workbook or (2) phone-based CRAFT if in Partners Connect; or (1) Partners Connect or (2) a CRAFT workbook if in Gottman. DISCUSSION: By first intervening with the service member's CP, we aim to better equip them to engage their service member partner in treatment services. In doing so, we develop a model that increases treatment accessibility and appeal among a group that may not otherwise seek care. CLINICALTRIALS: gov Identifier: NCT05619185.

Nonparametric Bayesian Q-learning for optimization of dynamic treatment regimes in the presence of partial compliance.

Existing methods for estimation of dynamic treatment regimes are mostly limited to intention-to-treat analyses-which estimate the effect of randomization to a particular treatment regime without considering the compliance behavior of patients. In this article, we propose a novel nonparametric Bayesian Q-learning approach to construct optimal sequential treatment regimes that adjust for partial compliance. We consider the popular potential compliance framework, where some potential compliances are latent and need to be imputed. The key challenge is learning the joint distribution of the potential compliances, which we accomplish using a Dirichlet process mixture model. Our approach provides two kinds of treatment regimes: (1) conditional regimes that depend on the potential compliance values; and (2) marginal regimes where the potential compliances are marginalized. Extensive simulation studies highlight the usefulness of our method compared to intention-to-treat analyses. We apply our method to the Adaptive Treatment for Alcohol and Cocaine Dependence (ENGAGE) study , where the goal is to construct optimal treatment regimes to engage patients in therapy.

Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes.

Dynamic treatment regimens (DTRs), also known as treatment algorithms or adaptive interventions, play an increasingly important role in many health domains. DTRs are motivated to address the unique and changing needs of individuals by delivering the type of treatment needed, when needed, while minimizing unnecessary treatment. Practically, a DTR is a sequence of decision rules that specify, for each of several points in time, how available information about the individual's status and progress should be used in practice to decide which treatment (e.g. type or intensity) to deliver. The sequential multiple assignment randomized trial (SMART) is an experimental design widely used to empirically inform the development of DTRs. Sample size planning resources for SMARTs have been developed for continuous, binary, and survival outcomes. However, an important gap exists in sample size estimation methodology for SMARTs with longitudinal count outcomes. Furthermore, in many health domains, count data are overdispersed-having variance greater than their mean. We propose a Monte Carlo-based approach to sample size estimation applicable to many types of longitudinal outcomes and provide a case study with longitudinal overdispersed count outcomes. A SMART for engaging alcohol and cocaine-dependent patients in treatment is used as motivation.

Adapting psychotherapy in collaborative care for treating opioid use disorder and co-occurring psychiatric conditions in primary care.

INTRODUCTION: Opioid use disorder (OUD) and psychiatric conditions commonly co-occur yet are infrequently treated with evidence-based therapeutic approaches, resulting in poor outcomes. These conditions, separately, present challenges to treatment initiation, retention, and success. These challenges are compounded when individuals have OUD and psychiatric conditions. METHOD: Recognizing the complex needs of these individuals, gaps in care, and the potential for primary care to bridge these gaps, we developed a psychotherapy program that integrates brief, evidence-based psychotherapies for substance use, depression, and anxiety, building on traditional elements of the Collaborative Care Model (CoCM). In this article, we describe this psychotherapy program in a primary care setting as part of a compendium of collaborative services. RESULTS: Patients receive up to 12 sessions of evidence-based psychotherapy and case management based on a structured treatment manual that guides treatment via Motivational Enhancement; Cognitive Behavioral Therapies for depression, anxiety, and/or substance use disorder; and/or Behavioral Activation components. DISCUSSION: Novel, integrated treatments are needed to advance service delivery for individuals with OUD and psychiatric conditions and these programs must be rigorously evaluated. We describe our team's efforts to test our psychotherapy program in a large primary care network as part of an ongoing three-arm randomized controlled trial. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Feasibility and preliminary results of a call centre delivered continuing care intervention following residential alcohol and other drug treatment.

INTRODUCTION: To help reduce relapse rates following alcohol and other drug (AOD) treatment, continuing care interventions have been recommended. Previous continuing care interventions have incorporated telephone and face-to-face sessions to help promote participant engagement. The study was conducted as a randomised controlled feasibility study and examined a call centre delivered continuing care intervention for people leaving residential rehabilitation services. METHODS: Participants were attending AOD residential treatment services in NSW, Australia (N = 154). Participants were randomised to either 12- or 4-sessions of continuing care. Follow up assessments were completed at 6-months. The primary outcomes were demand and implementation. Secondary outcomes were AOD use, mental health and physical health at 6-months. RESULTS: Interest in continuing care was high, with 93% of participants approached reporting an interest in being involved. Of the participants who completed the consent and baseline procedures, 29% of people were contacted post residential treatment and randomised. For those people randomised, the average number of sessions completed was 2.78 (SD = 1.65) for the 4-session arm and 4.81 (SD = 4.46) for the 12-session arm. Fidelity to the treatment manual was high. Both treatment arms showed higher complete abstinence at 6-months compared to baseline (12-session OR 28.57 [2.3, 353.8]; 4-session OR 28.11 [3.6, 221.2]). DISCUSSION AND CONCLUSIONS: A major challenge associated with the call centre approach was re-engaging participants once they left the residential facility and delivering the planned dose of treatment. Further work is required to promote greater uptake of these protocols once people leave residential treatment.

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.

A systematic review of brief, freely accessible, and valid self-report measures for substance use disorders and treatment.

BACKGROUND: Self-report measures can improve evidence-based assessment practices in substance use disorder treatment, but many measures are burdensome and costly, limiting their utility in community practice and non-specialty healthcare settings. This systematic review identified and evaluated the psychometric properties of brief, free, and readily accessible self-report measures of substance use and related factors. METHODS: We searched two electronic databases (PsycINFO and PubMed) in May 2021 for published literature on scales, measures, or instruments related to substance use, substance use treatment, and recovery, and extracted the names of all measures. Measures were included if they were: (1) brief (25 items or fewer), (2) freely accessible in a ready-to-use format, and (3) had published psychometric data. RESULTS: An initial search returned 411 measures, of which 73 (18%) met criteria for inclusion. Included measures assessed a variety of substances (e.g., alcohol, nicotine, opioids, cannabinoids, cocaine) and measurement domains (e.g., use, severity, expectancies, withdrawal). Among these measures, 14 (19%) were classified as psychometrically "excellent," 27 (37%) were rated as "good," 32 (44%) were "adequate." CONCLUSIONS: Despite the shift toward evidence-based assessment in substance use disorder treatment in the last twenty years, key areas of public health concern are lacking pragmatic, psychometrically valid measures. Among the brief measures we reviewed, less than a fifth met criteria for psychometric "excellence" and most of these instruments fell into one measurement domain: screening for problematic substance use. Future research should focus both on improving the evidence base for existing brief self-report measures and creating new low-burden measures for specific substances and treatment constructs.

Social Factors Predict Treatment Engagement in Veterans with PTSD or SUD.

Veterans with PTSD and SUDs often fail to initiate, or prematurely discontinue, mental health treatment in Veteran Affairs Medical Centers (VAMC). While much is known about clinical characteristics and demographic factors impacting treatment engagement in this population, less is known about the role of social factors. This retrospective study examines primary care-based screening assessment and specialty mental healthcare appointment data in a VAMC, to test whether social factors predict treatment initiation and appointment attendance. Findings reveal veterans were more likely to initiate treatment when (a) those with SUDs (n = 235) reported more frequent negative exchanges with others and (b) those with PTSD (n = 2107) reported more perceived support or being partnered. Those with PTSD who were partnered had higher appointment attendance rates. Findings suggest social factors are relevant to treatment initiation among veterans with PTSD and SUDs and that close others may be helpful in facilitating referrals.

Digital approaches to continuing care.

PURPOSE OF REVIEW: To provide an update of studies on the effectiveness of digital and telephonic approaches to providing remote continuing care for substance use disorders. RECENT FINDINGS: Effective continuing care can be provided via smartphone apps, text messaging, interactive voice response, and structured telephone counseling. The remote continuing care interventions with the strongest evidence of efficacy are the Addiction Comprehensive Health Enhancement Support System app and Telephone Monitoring and Counseling. Positive effects for these intervention on drinking outcomes in patients with alcohol use disorders were replicated in a recent randomized controlled study. SUMMARY: Continuing care is widely believed to be an important component of treatment for substance use disorders, especially for sustaining positive outcomes. However, many individuals do not attend clinic-based continuing care, due to a variety of reasons, including competing work and family responsibilities, disabilities, transportation challenges, and recently the COVID-19 pandemic. Remote continuing care, provided via smartphone apps, text messaging, and various telephonic approaches, has been shown to be effective, and could be used to provide continuing care to patients who would otherwise not receive it. Further work is needed to determine how to effectively combine more traditional continuing care with newer digitized and telephonic approaches.

Do financial incentives increase mental health treatment engagement? A meta-analysis.

OBJECTIVE: Engagement in mental health treatment is low, which can lead to poor outcomes. We evaluated the efficacy of offering patients financial incentives to increase their mental health treatment engagement, also referred to as contingency management. METHOD: We meta-analyzed studies offering financial incentives for mental health treatment engagement, including increasing treatment attendance, medication adherence, and treatment goal completion. Analyses were run within a multilevel framework. All study designs were included, and sensitivity analyses were run including only randomized and high-quality studies. RESULTS: About 80% of interventions incentivized treatment for substance use disorders. Financial incentives significantly increased treatment attendance (Hedges' g = 0.49, [0.33, 0.64], k = 30, I2 = 83.14), medication adherence (Hedges' g = 0.95, [0.47, 1.44], k = 6, I2 = 87.73), and treatment goal completion (Hedges' g = 0.61, [0.22, 0.99], k = 5, I2 = 60.55), including completing homework, signing treatment plans, and reducing problematic behavior. CONCLUSIONS: Financial incentives increase treatment engagement with medium to large effect sizes. We provide strong evidence for their effectiveness in increasing substance use treatment engagement and preliminary evidence for their effectiveness in increasing treatment engagement for other mental health disorders. Future research should prioritize testing the efficacy of incentivizing treatment engagement for mental health disorders aside from substance use. Research must also identify ways to incentivize treatment engagement that improve functioning and long-term outcomes and address ethical and systemic barriers to implementing these interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).