Advances in the psychosocial treatment of addiction: the role of technology in the delivery of evidence-based psychosocial treatment

Interpersonal factors in internet-based cognitive behavioral therapy for depression: Attachment style and alliance with the program and with the therapist

Objective This open-trial study examined effects of a culturally-adapted Hebrew version of guided internet-based cognitive behavioural therapy (ICBT) for depression. We examined therapeutic alliance with the therapist and with the programme (content) as potential predictors of outcomes. Furthermore, we examined whether anxious and avoidant attachment styles improved, although relationships were not the focus of treatment. Method: We examined alliance with therapist and alliance with programme and their time-lagged (1 week), longitudinal relationship with depression outcomes, and change in anxious and avoidant attachment during treatment. Results: Depression and insomnia improved significantly (Cohen's d: depression = 1.34, insomnia = 0.86), though dropout was relatively high (49%). Alliance with programme and with the therapist predicted adherence and dropout, whereas only alliance with therapist predicted symptom improvement. Avoidant attachment decreased over treatment whereas anxious attachment did not. Conclusion: A culturally-adapted version of ICBT for depression showed that alliance with therapist and alliance with programme both can play an important role in its effectiveness: alliance with programme and the therapist drive adherence and dropout and alliance with therapist is related to symptom improvement. Although the focus of treatment is not interpersonal, avoidant attachment style can improve following ICBT.

Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?

BACKGROUND

The opioid epidemic has resulted in expanded substance use treatment services and strained the clinical workforce serving people with opioid use disorder. Focusing on evidence-based counseling practices like motivational interviewing may be of interest to counselors and their supervisors, but time-intensive adherence tasks like recording and feedback are aspirational in busy community-based opioid treatment programs. The need to improve and systematize clinical training and supervision might be addressed by the growing field of machine learning and natural language-based technology, which can promote counseling skill via self- and supervisor-monitoring of counseling session recordings.

METHODS

Counselors in an opioid treatment program were provided with an opportunity to use an artificial intelligence based, HIPAA compliant recording and supervision platform (Lyssn.io) to record counseling sessions. We then conducted four focus groups-two with counselors and two with supervisors-to understand the integration of technology with practice and supervision. Questions centered on the acceptability of the clinical supervision software and its potential in an OTP setting; we conducted a thematic coding of the responses.

RESULTS

The clinical supervision software was experienced by counselors and clinical supervisors as beneficial to counselor training, professional development, and clinical supervision. Focus group participants reported that the clinical supervision software could help counselors learn and improve motivational interviewing skills. Counselors said that using the technology highlights the value of counseling encounters (versus paperwork). Clinical supervisors noted that the clinical supervision software could help meet national clinical supervision guidelines and local requirements. Counselors and clinical supervisors alike talked about some of the potential challenges of requiring session recording.

CONCLUSIONS

Implementing evidence-based counseling practices can help the population served in OTPs; another benefit of focusing on clinical skills is to emphasize and hold up counselors' roles as worthy. Machine learning technology can have a positive impact on clinical practices among counselors and clinical supervisors in opioid treatment programs, settings whose clinical workforce continues to be challenged by the opioid epidemic. Using technology to focus on clinical skill building may enhance counselors' and clinical supervisors' overall experiences in their places of work.

Toward an era of impact of digital contingency management in the treatment of substance use disorders

Digital contingency management entails remote methods to obtain biochemical confirmation of drug status and provide desirable, tangible consequences contingent on abstinence. Advances in digital CM suggest that it may be on the cusp of making a public health impact. Specific advances include technological capabilities and affordability, companies that specialize in digital CM, policies and reimbursement models, and the increasing availability of resources related to CM. Digital CM has expanded from cigarette smoking to alcohol and illicit substance misuse, and to include a diverse range of underserved and high-risk groups (e.g., pregnant and postpartum women, socioeconomically disadvantaged individuals, adolescents, and rural populations). Although the digital divide continues to narrow, culturally responsive methods may increase uptake and engagement with digital CM. The promise of digital CM is widescale access to an evidence-based treatment with low staff burden, no side effects, high fidelity engagement, acceptability, and effectiveness, and greater equity. We may be close to realizing this promise.

Peer support and online cognitive behavioural therapy for substance use concerns: protocol for a randomised controlled trial

INTRODUCTION

Hazardous alcohol and drug use is associated with substantial morbidity, mortality and societal cost worldwide. Yet, only a minority of those struggling with substance use concerns receive specialised services. Numerous barriers to care exist, highlighting the need for scalable and engaging treatment alternatives. Online interventions have exhibited promise in the reduction of substance use, although studies to date highlight the key importance of patient engagement to optimise clinical outcomes. Peer support may provide a way to engage patients using online interventions. The goal of this study is to evaluate the efficacy and cost-effectiveness of Breaking Free Online (BFO), an online cognitive-behavioural intervention for substance use, delivered with and without peer support.

METHODS AND ANALYSIS

A total of 225 outpatients receiving standard care will be randomised to receive clinical monitoring with group peer support, with BFO alone, or with BFO with individual peer support, in an 8-week trial with a 6-month follow-up. The primary outcome is substance use frequency; secondary outcomes include substance use problems, depression, anxiety, quality of life, treatment engagement and cost-effectiveness. Mixed effects models will be used to test hypotheses, and thematic analysis of qualitative data will be undertaken.

ETHICS AND DISSEMINATION

The protocol has received approval by the Centre for Addiction and Mental Health Research Ethics Board. Results will help to optimise the effectiveness of structured online substance use interventions provided as an adjunct to standard care in hospital-based treatment programmes. Findings will be disseminated through presentations and publications to scholarly and knowledge user audiences.

TRIAL REGISTRATION NUMBER

NCT05127733.

A Review of Digital Interventions to Decrease Cannabis Use Among Patients With Comorbid Psychiatric Disorders

OBJECTIVE

Cannabis use disorder (CUD) is associated with an elevated risk for psychiatric disorders and symptoms, contributing to poor health outcomes and increased medical costs. Unfortunately, interventions that simultaneously address cannabis use and co-occurring psychiatric disorders are limited in availability. Targeted digital interventions to reduce cannabis use could be beneficial for patients with psychiatric disorders. Digital interventions could be easily disseminated and used in numerous clinical locations, including outpatient, inpatient, residential, and community psychiatric treatment settings.

METHODS

Literature on digital cannabis reduction interventions for persons with psychiatric disorders was examined between April 2021 and June 2021. Articles were obtained from PubMed and PsycINFO databases. English language randomized controlled trials (RCT), feasibility and acceptability studies, pilot studies, and published protocols were included.

RESULTS

There is significant evidence that digital interventions can effectively reduce cannabis use in general, non-clinical populations. However, there is less literature examining interventions for persons living with co-occurring psychiatric illness-most of which is tailored to patients living with chronic psychosis.

CONCLUSIONS

There is great need for accessible and tailored digital interventions for co-occurring CUD and psychiatric disorders.

Can we enhance the clinical efficacy of cognitive and psychological approaches to treat substance use disorders through understanding their neurobiological mechanisms?

Despite decades of research in the field of addiction, relapse rates for substance use disorders remain high. Consequently, there has been growing focus on providing evidence-based treatments for substance use disorders, resulting in the increased development and use of cognitive and psychological interventions. Such treatment approaches, including contingency management, community-reinforcement approach, and cognitive bias modification, have shown promising clinical efficacy in reducing substance use and promoting abstinence during treatment. However, these interventions are still somewhat limited in achieving sustained periods of abstinence post-treatment. The neurobiological mechanisms underpinning these treatment approaches remain largely unknown and under-studied, in part, due to a lack of translational animal models. The adoption of a reverse translational approach may assist in development of more representative models that can facilitate elucidation of the mechanisms behind these clinically relevant interventions. This review examines our current understanding of addiction neurobiology from clinical, preclinical research and existing animal models, and considers how the efficacy of such behavioral-oriented interventions alone, or in combination with pharmacotherapy, may be enhanced to improve treatment outcomes.

Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.

Coronavirus Disease 2019 and the Impact on Substance Use Disorder Treatments

Coronavirus disease 2019 (COVID-19)-related stressors and restrictions, in the absence of social and institutional support, have led many individuals to either increase their substance consumption or relapse. Consequently, treatment programs for substance use disorders (SUDs) made a transition from in-person to remote care delivery. This review discusses the following evidence regarding changes prompted by the COVID pandemic to the clinical care of individuals with SUDs: (1) reduction in availability of care, (2) increase in demand for care, (3) transition to telemedicine use, (4) telemedicine for treatment of opioid use disorders, and (5) considerations for use of telemedicine in treating SUDs.

Scaling Up Science-Based Care for Depression and Unhealthy Alcohol Use in Colombia: An Implementation Science Project

BACKGROUND

Mental disorders are a major cause of the global burden of disease and significantly contribute to disability and death. This challenge is particularly evident in low- and middle-income countries (LMICs), where >85% of the world's population live. Latin America is one region comprising LMICs where the burden of mental disorders is high and the availability of mental health services is low. This is particularly evident in Colombia, a country with a long-standing history of violence and associated mental health problems.

METHODS

This article describes the design of a multisite implementation science project, "Scaling Up Science-Based Mental Health Interventions in Latin America" (also known as the DIADA project), that is being conducted in six primary care systems in Colombia. This project, funded via a cooperative agreement from the National Institute of Mental Health, seeks to implement and assess the impact of a new model for promoting widespread access to mental health care for depression and unhealthy alcohol use within primary care settings and building an infrastructure to support research capacity and sustainability of the new service delivery model in Colombia. This care model centrally harnesses mobile health technology to increase the reach of science-based mental health care for depression and unhealthy alcohol use.

RESULTS

This initiative offers great promise to increase capacity for providing and sustaining evidence-based treatment for depression and unhealthy alcohol use in Colombia.

NEXT STEPS

This project may inform models of care that can extend to other regions of Latin America or other LMICs.

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

BACKGROUND

Successful long-term recovery from opioid use disorder (OUD) requires continuous lapse risk monitoring and appropriate use and adaptation of recovery-supportive behaviors as lapse risk changes. Available treatments often fail to support long-term recovery by failing to account for the dynamic nature of long-term recovery.

OBJECTIVE

The aim of this protocol paper is to describe research that aims to develop a highly contextualized lapse risk prediction model that forecasts the ongoing probability of lapse.

METHODS

The participants will include 480 US adults in their first year of recovery from OUD. Participants will report lapses and provide data relevant to lapse risk for a year with a digital therapeutic smartphone app through both self-report and passive personal sensing methods (eg, cellular communications and geolocation). The lapse risk prediction model will be developed using contemporary rigorous machine learning methods that optimize prediction in new data.

RESULTS

The National Institute of Drug Abuse funded this project (R01DA047315) on July 18, 2019 with a funding period from August 1, 2019 to June 30, 2024. The University of Wisconsin-Madison Health Sciences Institutional Review Board approved this project on July 9, 2019. Pilot enrollment began on April 16, 2021. Full enrollment began in September 2021.

CONCLUSIONS

The model that will be developed in this project could support long-term recovery from OUD-for example, by enabling just-in-time interventions within digital therapeutics.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/29563.

What helps implement smartphone systems designed to improve quality of life for people with substance use disorder: an interim report on a randomized controlled trial with SUD providers in Iowa (Preprint)

Background

Researchers have conducted numerous studies seeking to understand how to improve the implementation of changes in health care organizations, but less focus has been given to applying lessons already learned from implementation science. Finding innovative ways to apply these findings efficiently and consistently will improve current research on implementation strategies and allow organizations utilizing these techniques to make changes more effectively.

Objective

This research aims to compare a practical implementation approach that uses principles from prior implementation studies to more traditional ways of implementing change.

Methods

A total of 43 addiction treatment sites in Iowa were randomly assigned to 2 different implementation strategies in a randomized comparative effectiveness trial studying the implementation of an eHealth substance use disorder treatment technology. One strategy used an adaptation of the Network for the Improvement of Addiction Treatment (NIATx) improvement approach, while the other used a traditional product training model. This paper discusses lessons learned about implementation.

Results

This midterm report indicates that use of the NIATx approach appears to be leading to improved outcomes on several measures, including initial and sustained use of new technology by both counselors and patients. Additionally, this research indicates that seamlessly integrating organizational changes into existing workflows and using coaching to overcome hurdles and assess progress are important to improve implementation projects.

Conclusions

At this interim point in the study, it appears that the use of the NIATx improvement process leads to better outcomes in implementation of changes within health care organizations. Moreover, some strategies used in this improvement process are particularly useful and should be drawn on more heavily in future implementation efforts.

Trial Registration

ClinicalTrials.gov NCT03954184; https://clinicaltrials.gov/ct2/show/NCT03954184

A pilot randomized trial of CBT4CBT for women in residential treatment for substance use disorders

INTRODUCTION

Despite the effectiveness of cognitive behavioral therapy (CBT) for treatment of substance use disorder, dissemination to clinical practice is limited due to a range of barriers (e.g., time, cost). Computer-based training for cognitive behavioral therapy (CBT4CBT) offers a feasible and cost-effective opportunity to improve the quality and reach of SUD treatment. Research to date has supported the effectiveness of CBT4CBT in outpatient settings; however, research has not yet tested it in residential treatment.

METHODS

The current study evaluated the feasibility of CBT4CBT as an adjunct to residential treatment in a sample of women with SUDs using a two-arm pilot RCT comparing women randomized to either standard residential treatment plus access to the CBT4CBT program (N = 34) or residential treatment alone (TAU; N = 29). Assessments occurred at baseline, discharge from residential care, and at 4- and 12-weeks post-discharge. The study compared the two groups over the 12-week follow-up period on relapse to any substance (Y/N), relapse to primary substance (Y/N), and days of use using chi-square for categorical and t-tests for continuous measures. The study team also performed a Kaplan-Meier analysis to compare the two groups on time to relapse.

RESULTS

Demographically, the sample was predominantly African American (79.4%), with a mean age of 41.2 years (SD = 12.1). Although the current study was not powered for statistical significance, findings were in the predicted direction, with women in the CBT4CBT group reporting lower likelihood of relapse, longer time to relapse, and fewer days of substance use in the follow-up period compared to women in TAU.

CONCLUSIONS

This study expands the current literature supporting the use of CBT4CBT in outpatient settings. While a fully powered trial should confirm our findings, the current study provides benchmark data on the use of CBT4CBT in residential treatment for women with SUDs.

Cost-Effectiveness Analysis of a Prescription Digital Therapeutic for the Treatment of Opioid Use Disorder

The lack of adequate treatment for many patients with opioid use disorder (OUD) has led to high medical costs ($90B in 2020). An analysis of the cost-effectiveness (cost-utility) of reSET-O, the first and only FDA-approved prescription digital therapeutic (PDT) for the treatment of OUD, is needed to inform value assessments and healthcare decision making. To evaluate the cost-utility of reSET-O in conjunction with treatment-as usual (TAU) compared to TAU alone. A third-party payer-perspective decision analytic model evaluated the cost-effectiveness of reSET-O + TAU relative to TAU (i.e., oral buprenorphine, face-to-face counseling, and contingency management [immediate rewards for negative drug tests logged]) alone over 12 weeks. Clinical effectiveness data (retention in therapy and health state utilities) were obtained from the peer-reviewed literature, while resource utilization and cost data were obtained from a published claims data analyses. Over 12 weeks, the addition of reSET-O to TAU resulted in a gain of 0.003 quality-adjusted life years (QALYs), and $1,014 lower costs, resulting in economic dominance vs. TAU. reSET-O + TAU's was economically dominant (less costly, more effective) vs. TAU alone over 12 weeks, a result that was driven by a reduction in medical costs after initiation of reSET-O observed in a recent real-world claims analysis.

A pilot economic evaluation of computerized cognitive behavioral therapy for alcohol use disorder as an addition and alternative to traditional therapy

BACKGROUND

Computer-based delivery of cognitive behavioral therapy (CBT) may be a less costly approach to increase dissemination and implementation of evidence-based treatments for alcohol use disorder (AUD). However, comprehensive evaluations of costs, cost-effectiveness, and cost-benefit of computer-delivered interventions are rare.

METHODS

This study used data from a completed randomized clinical trial to evaluate the cost-effectiveness and cost-benefit of a computer-based version of CBT (CBT4CBT) for AUD. Sixty-three participants were randomized to receive one of the following treatments at an outpatient treatment facility and attended at least one session: (1) treatment as usual (TAU), (2) CBT4CBT plus treatment as usual (CBT4CBT+TAU), or (3) CBT4CBT plus brief monitoring.

RESULTS

Median protocol treatment costs per participant differed significantly between conditions, Kruskal-Wallis H(2) = 8.40, p = 0.02, such that CBT4CBT+TAU and CBT4CBT+monitoring each cost significantly more per participant than TAU. However, when nonprotocol treatment costs were included, total treatment costs per participant did not differ significantly between conditions. Median incremental cost-effective ratios (ICERs) revealed that CBT4CBT+TAU was more costly and more effective than TAU. It cost $35.08 to add CBT4CBT to TAU to produce a reduction of one additional drinking day per month between baseline and the end of the 8-week treatment protocol: CBT4CBT+monitoring cost $33.70 less to produce a reduction of one additional drinking day per month because CBT4CBT+monitoring was less costly than TAU and more effective at treatment termination, though not significantly so. Net benefit analyses suggested that costs of treatment, regardless of condition, did not offset monthly costs related to healthcare utilization, criminal justice involvement, and employment disruption between baseline and 6-month follow-up. Benefit-cost ratios were similar for each condition.

CONCLUSIONS

Results of this pilot economic evaluation suggest that an 8-week course of CBT4CBT may be a cost-effective addition and potential alternative to standard outpatient treatment for AUD. Additional research is needed to generate conclusions about the cost-benefit of providing CBT4CBT to treatment-seeking individuals participating in standard outpatient treatment.

Evaluation of the cost-utility of a prescription digital therapeutic for the treatment of opioid use disorder

Background: The opioid epidemic continues to generate a significant mental and physical health burden on patients, and claims the life of almost 150 Americans daily. Making matters worse, an increase in relapses and/or opioid-related deaths has been reported in more than 40 U.S. states since the start of the COVID-19 pandemic. Opioid use disorder (OUD) is one of the single most expensive disorders in the United States, generating average medical costs of $60B from just 2 million Americans diagnosed with the disorder. In commercial use since 2019, reSET-O is a non-drug, prescription digital therapeutic (PDT) that delivers evidence-based neurobehavioral treatment for OUD and helps overcome the barriers associated with access to care, stigma, and social distancing. Although shown to be cost effective and efficacious in clinical trials and real-world evidence studies, respectively, information on its value for money from a health utilities and cost per quality-adjusted life-year is needed to inform policy discussions.Objectives: To evaluate the impact of reSET-O on health utilities and assess its overall cost per quality-adjusted life year (QALY) gained vs. treatment-as-usual (TAU).Methods: Decision analytic model comparing reSET-O plus TAU to TAU alone (i.e. buprenorphine, face-to-face counseling, and contingency management) over 12 weeks. Clinical effectiveness data (abstinence and health utility) were obtained from a clinical trial, and resource utilization and cost data were adapted from a recent claims data analysis to reflect less frequent face-to-face counseling with the therapeutic.Results: The addition of reSET-O to TAU decreases total health care costs by -$131 and resulted in post-treatment utility values within population norms, with a corresponding gain of 0.003 QALYs. reSET-O when used adjunctively to TAU was economically dominant (less costly, more effective) vs. TAU alone.Conclusion: reSET-O is an economically-dominant adjunctive treatment for OUD and is associated with an overall reduction in total incremental cost vs TAU.

Real-world evidence for a prescription digital therapeutic to treat opioid use disorder

OBJECTIVES

To evaluate patient engagement and usage of a prescription digital therapeutic (PDT) and associated outcomes of opioid use and treatment retention in a large real-world dataset of patients with opioid use disorder (OUD) treated with buprenorphine medication for opioid use disorder (MOUD). PDTs are software-based disease treatments evaluated for safety and effectiveness in randomized clinical trials (RCTs), and authorized by the U.S. Food and Drug Administration (FDA) to treat disease with approved directions for use (label).

METHODS

A real-world observational evaluation of an all-comer population of patients who redeemed a 12-week prescription for the reSET-O PDT. Engagement and therapeutic use data were collected and analysed on a population level. Substance use was evaluated as a composite of self-reports recorded with reSET-O and urine drug screens (UDS).

RESULTS

Data from 3144 individuals with OUD were evaluated. 45.5% were between ages 30 and 39 years. 80% completed at least 8 of the 67 possible therapeutic modules, 66% completed half of all modules, and 49% completed all modules. Abstinence during the last 4 weeks of treatment was calculated with two imputation methodologies: 66% abstinent using "missing data excluded (patients with no data as positive)", and 91% abstinent with "missing data removed (patients with no data excluded)". 91% of patients met the responder definition of ≥80% of self-report or UDS negative. 74.2% of patients were retained through the last 4 weeks of treatment. Subgroup analysis of patients using reSET-O appropriately (4 or more modules per week for the first 4 weeks) showed 88.1% abstinence using "missing data excluded (patients with no data as positive)", and retention at weeks 9-12 of 85.8%.

CONCLUSIONS

Results demonstrate that reSET-O is readily and broadly used by patients with OUD and that high real-world engagement with the therapeutic is positively associated with abstinence and retention in treatment. ReSET-O is a potentially valuable adjunct to buprenorphine MOUD therapy for patients with OUD.

Safety and efficacy of a prescription digital therapeutic as an adjunct to buprenorphine for treatment of opioid use disorder

OBJECTIVES

To evaluate the safety and efficacy of a digital therapeutic in treatment-seeking individuals with opioid use disorder (OUD) in an analysis of randomized clinical trial (RCT) data (ClinicalTrials.gov identifier: NCT00929253).

METHODS

Secondary analysis of an RCT including 170 adults meeting DSM-IV criteria for OUD. Participants were randomized to 12-weeks of treatment-as-usual (TAU) or TAU plus a digital therapeutic providing 67 digital, interactive educational modules based on the Community Reinforcement Approach. TAU consisted of buprenorphine maintenance therapy, 30 min biweekly clinician interaction, and abstinence-based contingency management. Primary endpoints were treatment retention and abstinence (negative urine drug screen) during weeks 9-12 of treatment. Safety was assessed by evaluating adverse events.

RESULTS

Participants randomized to TAU plus a digital therapeutic had significantly greater odds of opioid abstinence during weeks 9-12 compared to TAU: 77.3 versus 62.1%, respectively (p=.02), OR 2.08, 95% CI 1.10-3.95. The risk of patients leaving treatment was significantly lower in the digital therapeutic group (HR 0.49, 95% CI 0.26-0.92). No significant difference was observed in the rate of adverse events between groups (p=.42).

CONCLUSIONS

A prescription digital therapeutic (PDT) in combination with buprenorphine therapy improves clinically significant patient outcomes including abstinence from illicit opioids and retention in treatment compared with treatment as usual.

Online Medication Assisted Treatment Education for Court Professionals: Need, Opportunities and Challenges

Although medication-assisted treatment (MAT) effectively treats opioid use disorders (OUD), MAT access is restricted in criminal justice (CJ) settings. Previous studies have documented that stigma and limited knowledge about MAT are prevalent among CJ court personnel. We describe development and pilot testing of an eLearning intervention to improve MAT knowledge and increase MAT referrals in Ohio courts. Methods: Building upon a nationwide survey conducted in 2011 of drug courts and informed by MAT opinions from judges who supervised OUD clients, we developed two eLearning MAT modules. Judges completed a brief online MAT knowledge-attitude scale (K-A) before, after, and at 3 months. Judges were asked about MAT referrals pretest and 3 months later. Results: Sixty-three judges expressed interest in the study, 25 completed the pretest and viewed the modules, 11 completed a 3 month posttest. At pretest, K-A scores were significantly (p<.05) lower for agonist medications than for extended-release naltrexone (XR-NTX; Vivitrol). K-A scores improved at posttest for agonist medications (p<.05) but declined to pretest levels three months later. Three months after the pretest, buprenorphine referrals increased from 2.6% to 9.7% (p<.05). There was no significant difference on K-A scores for agonist medication between the Ohio sample (at pretest) and the 2011 sample. Conclusion: Although there is some indication that eLearning may have strengthened knowledge gains and increased buprenorphine referrals, a more robust eLearning intervention will likely be required to increase court personnel participation and sustain eLearning knowledge gains. Recruiting and sustaining judges' participation in the study represented a significant study limitation.

Digital Clinical Trials for Substance Use Disorders in the Age of Covid-19

: As a result of the coronavirus 2019 (Covid-19) pandemic, clinical research for substance use disorders (SUDs) has been impeded due to widespread stay-at-home mandates limiting the operations of "non-essential" work. Although appropriate to proceed with an abundance of caution to prevent viral spread, there will be detrimental consequences for patients with SUDs if clinical trials research cannot adapt and continue uninterrupted. The field of digital health has strong evidence for its feasibility and effectiveness and offers tools that can facilitate the continuation of SUD clinical trials research remotely in accordance with Covid-19 precautions. Some digital tools have been used as components of SUD research in the past; however, no published clinical trial in SUDs to-date has been entirely virtual. This has important implications for disrupted clinical care, as providers seek guidelines for best digital practices. This paper provides a roadmap for integrating the fields of digital health and SUD clinical trials by proposing methods to complete recruitment, screening, informed consent, other study procedures, and internal lab operations digitally. The immediate future of SUD research depends on the ability to comply with social distancing. Investment in research of digital clinical trials for SUDs provides an opportunity to cultivate benefits for research and clinical care long-term as we can (1) define regulatory requirements for the implementation of digital systems, (2) develop consensus on system-wide standards and protocols in the appropriate use of technology, and (3) gain experience that can translate to the treatment of patients with SUDs through telehealth in the community.

COVID-19 and persons with substance use disorders: Inequities and mitigation strategies

The COVID-19 pandemic disproportionately disrupts the daily lives of marginalized populations. Persons with substance use disorders are a particularly vulnerable population because of their unique social and health care needs. They face significant harm from both the pandemic itself and its social and economic consequences, including marginalization in health care and social systems. Hence, we discuss: (1) why persons with substance use disorders are at increased risk for infection with COVID-19 and a severe illness course; (2) anticipated adverse consequences of COVID-19 in persons with substance use disorders; (3) challenges to health care delivery and substance use treatment programs during and after the COVID-19 pandemic; and (4) the potential impact on clinical research in substance use disorders. We offer recommendations for clinical, public health, and social policies to mitigate these challenges and to prevent negative outcomes.

A systematic review of technology-based psychotherapeutic interventions for decreasing cannabis use in patients with psychosis

Persistent use of cannabis in persons with psychosis is associated with poor symptomatic and functional outcomes and increased healthcare costs. Face-to-face psychological interventions (e.g., Cognitive Behavioral Therapy- [CBT], Motivation Enhancement Therapy- [MET]) are widely used in treating problematic cannabis use. We aimed to comprehensively review the efficacy of technology-based psychological interventions (TBPIs) in decreasing cannabis use, the design of TBPIs, and TBPI-related preferences in individuals with psychosis. For the systematic review, we searched six major databases from their inception to November 27, 2019. We included empirical articles of quantitative and qualitative methodologies related to TBPIs in individuals with psychosis and cannabis misuse and used narrative synthesis to report results. Only eight articles were found showing that technology-based motivational and psycho-education interventions and cognitive enhancement therapy were minimally efficient in achieving cannabis abstinence or decreasing frequency of use. Qualitative exploratory methods and participatory action research were used to elicit patient and clinician preferences and TBPIs were tailored accordingly to improve cannabis use related outcomes. Research on TBPIs in individuals with psychosis and cannabis misuse is in its early phases. A significant research effort is needed for the development of adapted interventions for CUD to capitalize on the potential of web-based applications.

A randomized clinical trial of mobile phone motivational interviewing for alcohol use problems in Kenya

AIM

To test the effectiveness of a motivational interviewing (MI) intervention using the mobile phone among adults with alcohol use problems.

DESIGN

A randomized clinical trial of mobile MI and standard in-person MI with 1- and 6-month follow-up, including a 1-month waitlist control followed by mobile MI.

SETTING

A primary health center in rural Kenya.

PARTICIPANTS

Three hundred adults screening positive for alcohol use problems were randomized and received immediate mobile MI (n = 89), in-person MI (n = 65) or delayed mobile MI (n = 76) for waiting-list controls 1 month after no treatment, with 70 unable to be reached for intervention.

INTERVENTION AND COMPARATOR

One MI session was provided either immediately by mobile phone, in-person at the health center or delayed by 1 month and then provided by mobile phone.

MEASUREMENTS

Alcohol use problems were repeatedly assessed using the Alcohol Use Disorder Identification Test (AUDIT) and the shorter AUDIT-C. The primary outcome was difference in alcohol score 1 month after no intervention for waiting-list control versus 1 month after MI for mobile MI. The secondary outcomes were difference in alcohol score for in-person MI versus mobile MI one and 6 months after MI.

FINDINGS

For our primary outcome, average AUDIT-C scores were nearly three points higher (difference = 2.88, 95% confidence interval = 2.11, 3.66) for waiting-list controls after 1 month of no intervention versus mobile MI 1 month after intervention. Results for secondary outcomes supported the null hypothesis of no difference between in-person and mobile MI at 1 month (Bayes factor = 0.22), but were inconclusive at 6 months (Bayes factor = 0.41).

CONCLUSION

Mobile phone-based motivational interviewing may be an effective treatment for alcohol use problems among adults visiting primary care in Kenya. Providing mobile motivational interviewing may help clinicians in rural areas to reach patients needing treatment for alcohol use problems.

The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network

The application of digital technologies to better assess, understand, and treat substance use disorders (SUDs) is a particularly promising and vibrant area of scientific research. The National Drug Abuse Treatment Clinical Trials Network (CTN), launched in 1999 by the U.S. National Institute on Drug Abuse, has supported a growing line of research that leverages digital technologies to glean new insights into SUDs and provide science-based therapeutic tools to a diverse array of persons with SUDs. This manuscript provides an overview of the breadth and impact of research conducted in the realm of digital health within the CTN. This work has included the CTN's efforts to systematically embed digital screeners for SUDs into general medical settings to impact care models across the nation. This work has also included a pivotal multi-site clinical trial conducted on the CTN platform, whose data led to the very first "prescription digital therapeutic" authorized by the U.S. Food and Drug Administration (FDA) for the treatment of SUDs. Further CTN research includes the study of telehealth to increase capacity for science-based SUD treatment in rural and under-resourced communities. In addition, the CTN has supported an assessment of the feasibility of detecting cocaine-taking behavior via smartwatch sensing. And, the CTN has supported the conduct of clinical trials entirely online (including the recruitment of national and hard-to-reach/under-served participant samples online, with remote intervention delivery and data collection). Further, the CTN is supporting innovative work focused on the use of digital health technologies and data analytics to identify digital biomarkers and understand the clinical trajectories of individuals receiving medications for opioid use disorder (OUD). This manuscript concludes by outlining the many potential future opportunities to leverage the unique national CTN research network to scale-up the science on digital health to examine optimal strategies to increase the reach of science-based SUD service delivery models both within and outside of healthcare.

Brief, Web-Based Interventions to Motivate Smokers With Schizophrenia: Randomized Trial

BACKGROUND

In-person motivational interventions increase engagement with evidence-based cessation treatments among smokers with schizophrenia, but access to such interventions can be limited because of workforce shortages and competing demands in mental health clinics. The use of digital technology to deliver interventions can increase access, but cognitive impairments in schizophrenia may impede the use of standard digital interventions. We developed an interactive, multimedia, digital motivational decision support system for smokers with schizophrenia (Let's Talk About Smoking). We also digitalized a standard educational pamphlet from the National Cancer Institute (NCI Education). Both were tailored to reduce cognitive load during use.

OBJECTIVE

We conducted a randomized trial of Let's Talk About Smoking versus NCI Education to test whether the interactive motivational intervention was more effective and more appealing than the static educational intervention for increasing use of smoking cessation treatment, quit attempts, and abstinence among smokers with schizophrenia, accounting for the level of cognitive functioning.

METHODS

Adult smokers with schizophrenia (n=162) were enrolled in the study from 2014 to 2015, randomly assigned to intervention condition, and assessed in person at 3- and 6-month follow-ups. Interventions were delivered on a laptop computer in a single session. All participants had access to standard, community-delivered cessation treatments during follow-up. Multivariate models were used to evaluate outcomes.

RESULTS

Treatment initiation outcomes were not different between intervention conditions (27/84 [32%] for Let's Talk About Smoking vs 36/78 [46%] for NCI Education; odds ratio [OR] 0.71 [95% CI 0.37-1.33]); 38.9% (63/162) of participants initiated treatment. Older age (OR 1.03 [95% CI 1.00-1.07]; P=.05), higher education (OR 1.21 [95% CI 1.04-1.41]; P=.03), and fewer positive symptoms (OR 0.87 [95% CI 0.80-0.96]; P=.01) predicted cessation treatment initiation, whereas level of cognition did not. The mean satisfaction and usability index score was higher for Let's Talk About Smoking versus NCI Education (8.9 [SD 1.3] vs 8.3 [SD 2.1]; t120.7=2.0; P=.045). Quit attempts (25/84, 30% vs 36/78, 46%; estimate [Est]=-0.093, SE 0.48; P=.85) and abstinence (1/84, 1% vs 6/78, 7%; χ21=3.4; P=.07) were not significantly different between intervention conditions. Cognitive functioning at baseline (Est=1.47, SE 0.47; P=.002) and use of any behavioral or medication cessation treatment (Est=1.43, SE 0.47; P=.003) predicted quit attempts with self-reported abstinence over the 6-month follow-up.

CONCLUSIONS

The interactive, multimedia intervention was not more effective than the static, text-based intervention among smokers with schizophrenia. Both tailored digital interventions resulted in levels of treatment engagement and quit attempts that were similar to findings from previous studies of in-person interventions, confirming the potential role of digital interventions to educate and motivate smokers with schizophrenia to use cessation treatment and to quit smoking. These findings indicate that additional cessation treatment is needed after brief education or motivational interventions, and that cessation treatment should be adjusted for people with cognitive impairment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02086162; https://clinicaltrials.gov/show/NCT02086162.

Computerized Cognitive Behavioral Therapy for Substance Use Disorders: A Summary of the Evidence and Potential Mechanisms of Behavior Change

Cognitive-behavioral therapy (CBT) is one of the most evaluated behavioral interventions for substance use disorders, with considerable empirical evidence supporting its efficacy. However, despite CBT's strong support from efficacy trials, broad dissemination and implementation have been challenging. Furthermore, there remains limited understanding regarding CBT's mechanisms of behavior change; the theory-driven assumption that individuals acquire new skills for coping with triggers for substance use has notoriously lacked statistical support. The emergence of computer-delivered interventions has the potential to address dissemination and implementation challenges, as well as offer advantages toward understanding treatment mechanisms. This article will provide a summary of the current evidence supporting one particular computerized CBT program, CBT4CBT. Multiple clinical trials in different treatment settings have indicated CBT4CBT's efficacy at reducing rates of alcohol and drug use when provided as an add-on to standard addiction treatment, as well as when provided with minimal clinical monitoring (i.e., virtual stand-alone). These effects have also been relatively durable after treatment termination, consistent with findings of traditional CBT. It is important to note that the evaluation of individuals' cognitive and behavioral coping skills prior and following treatment has indicated the acquisition/improvement of these skills may be a mechanism of behavior change for those who engage with CBT4CBT. Thus, computerized delivery may be a strategy for enhancing individuals' learning of cognitive and behavioral skills for successfully avoiding substance use. Future work should aim to identify the optimal type of setting, clinician role, and patient characteristics for targeted dissemination and implementation.

A Motion-Activated Video Game for Prevention of Substance Use Disorder Relapse in Youth: Pilot Randomized Controlled Trial

Background

Body motion-activated video games are a promising strategy for promoting engagement in and adherence to addiction treatment among youth.

Objective

This pilot randomized trial (N=80) investigated the feasibility of a body motion–activated video game prototype, Recovery Warrior 2.0, targeting relapse prevention in the context of a community inpatient care program for youth.

Methods

Participants aged 15-25 years were recruited from an inpatient drug treatment program and randomized to receive treatment as usual (control) or game play with treatment as usual (intervention). Assessments were conducted at baseline, prior to discharge, and at 4 and 8 weeks postdischarge.

Results

The provision of the game play intervention was found to be feasible in the inpatient setting. On an average, participants in the intervention group played for 36.6 minutes and on 3.6 different days. Participants in the intervention group mostly agreed that they would use the refusal skills taught by the game. Participants in the intervention group reported attending more outpatient counseling sessions than those in the control group (10.8 versus 4.8), but the difference was not significant (P=.32). The game had no effect on drug use at 4 or 8 weeks postdischarge, with the exception of a benefit reported at the 4-week follow-up among participants receiving treatment for marijuana addiction (P=.04).

Conclusions

Preliminary evidence indicates that a motion-activated video game for addiction recovery appears to be feasible and acceptable for youth within the context of inpatient treatment, but not outpatient treatment. With further development, such games hold promise as a tool for the treatment of youth substance use disorder.

Trial Registration

ClinicalTrials.gov NCT03957798; https://clinicaltrials.gov/show/NCT03957798 (Archived by WebCite at http://www.webcitation.org/78XU6ENB4)

Digital Presence of a Research Center as a Research Dissemination Platform: Reach and Resources

BACKGROUND

Web-based platforms can be powerful tools for research dissemination. By leveraging the advantages of mass media and interpersonal channels of communication, Web-based dissemination platforms may improve awareness about, and subsequent adoption of, evidence-based practices (EBPs). Digital dissemination strategies can augment traditional dissemination models, improving stakeholder access to digestible and actionable information and promoting translation of EBPs.

OBJECTIVE

This study aimed to describe the reach and content of the Web presence of a National Institute on Drug Abuse Center of Excellence and how it is used to disseminate research related to digital behavioral health approaches.

METHODS

The Center for Technology and Behavioral Health (CTBH) has a website and regularly updated Facebook and Twitter accounts. The website features include summaries of digital behavioral health approaches and related empirical literature, a blog feed focused on the state of the science and technology concerning digital health care approaches, and a newsletter about Center activities. We extracted website usage metrics from Google Analytics and follower counts from social media accounts for the period from March 1, 2013, to July 17, 2018.

RESULTS

Since the implementation of analytic tracking, 70,331 users have initiated 96,995 sessions on the CTBH website. The website includes summaries of 86 digital therapeutic programs, encompassing 447 empirical articles. There are 1160 posts in the CTBH blog feed, including 180 summaries of scholarly articles. The Twitter and Facebook accounts have 577 and 1500 followers, respectively. The newsletter has reached a growing subscriber network and has a high open rate relative to industry standards.

CONCLUSIONS

The CTBH Web presence serves as a model for how to leverage accessible and easily updatable digital platforms as research dissemination channels. Digital dissemination tools can augment traditional dissemination strategies to promote awareness about evidence-based digital therapeutic approaches for behavioral health and health care more broadly.

Research on women with substance use disorders: Reviewing progress and developing a research and implementation roadmap

BACKGROUND

Research on women with substance use disorders has expanded, yet knowledge and implementation gaps remain.

METHODS

Drawing from topics discussed at the 2017 meeting of InWomen's in Montreal, Canada, this article reviews key progress in research on substance use among women, adolescents, and families to delineate priorities for the next generation of research.

RESULTS

The field has seen significant accomplishments in multiple domains, including the management of pregnant women with substance use and comorbid psychiatric disorders, caring for neonates in opioid withdrawal, greater inclusion of and treatment options for LGBTQ + communities, gendered instrumentation, and gender-focused HIV interventions for adolescent girls and women. Women who use alcohol and other drugs often experience other comorbid medical conditions (chronic Hepatitis C and HIV), contextual confounders (intimate partner violence exposure, homelessness, trauma), and social expectations (e.g., as caretakers) that must be addressed as part of integrated care to effectively treat women's substance use issues. Although significant advances have been made in the field to date, gender-based issues for women remain a neglected area in much of substance abuse research. Few dedicated and gender-focused funding opportunities exist and research has been siloed, limiting the potential for collaborations or interdisciplinary cross-talk.

CONCLUSION

Given renewed attention to substance use in the context of the burgeoning opioid epidemic and shifts in global politics that affect women's substance use, the field requires a strategic rethink to invigorate a pipeline of future research and researchers.

Technology-Based Interventions for Substance Use and Comorbid Disorders: An Examination of the Emerging Literature

Among individuals with substance use disorders (SUDs), comorbidity with other psychiatric disorders is common and often noted as the rule rather than the exception. Standard care that provides integrated treatment for comorbid diagnoses simultaneously has been shown to be effective. Technology-based interventions (TBIs) have the potential to provide a cost-effective platform for, and greater accessibility to, integrated treatments. For the purposes of this review, we defined TBIs as interventions in which the primary targeted aim was delivered by automated computer, Internet, or mobile system with minimal to no live therapist involvement. A search of the literature identified nine distinct TBIs for SUDs and comorbid disorders. An examination of this limited research showed promise, particularly for TBIs that address problematic alcohol use, depression, or anxiety. Additional randomized, controlled trials of TBIs for comorbid SUDs and for anxiety and depression are needed, as is future research developing TBIs that address SUDs and comorbid eating disorders and psychotic disorders. Ways of leveraging the full capabilities of what technology can offer should also be further explored.

Acceptability and effectiveness of a web-based psychosocial intervention among criminal justice involved adults

BACKGROUND

The acceptability, feasibility and effectiveness of web-based interventions among criminal justice involved populations are understudied. This study is a secondary analysis of baseline characteristics associated with criminal justice system (CJS) status as treatment outcome moderators among participants enrolling in a large randomized trial of a web-based psychosocial intervention (Therapeutic Education System [TES]) as part of outpatient addiction treatment.

METHODS

We compared demographic and clinical characteristics, TES participation rates, and the trial's two co-primary outcomes, end of treatment abstinence and treatment retention, by self-reported CJS status at baseline: 1) CJS-mandated to community treatment (CJS-mandated), 2) CJS-recommended to treatment (CJS-recommended), 3) no CJS treatment mandate (CJS-none).

RESULTS

CJS-mandated (n = 107) and CJS-recommended (n = 69) participants differed from CJS-none (n = 331) at baseline: CJS-mandated were significantly more likely to be male, uninsured, report cannabis as the primary drug problem, report fewer days of drug use at baseline, screen negative for depression, and score lower for psychological distress and higher on physical health status; CJS-recommended were younger, more likely single, less likely to report no regular Internet use, and to report cannabis as the primary drug problem. Both CJS-involved (CJS -recommended and -mandated) groups were more likely to have been recently incarcerated. Among participants randomized to the TES arm, module completion was similar across the CJS subgroups. A three-way interaction of treatment, baseline abstinence and CJS status showed no associations with the study's primary abstinence outcome.

CONCLUSIONS

Overall, CJS-involved participants in this study tended to be young, male, and in treatment for a primary cannabis problem. The feasibility and effectiveness of the web-based psychosocial intervention, TES, did not vary by CJS-mandated or CJS-recommended participants compared to CJS-none. Web-based counseling interventions may be effective interventions as US public safety policies begin to emphasize supervised community drug treatment over incarceration.

Customized recommendations and reminder text messages for automated, computer-based treatment during methadone

The Recovery Line is an automated, computer-based intervention based on cognitive behavioral therapy (CBT) designed to provide real-time assistance by phone for patients in methadone maintenance. Preliminary efficacy findings were promising, however, as with other computer-based systems for substance use disorder, patient system use was less than recommended. Development and evaluation of system functions to increase patient engagement and use is needed. Thus, we conducted two randomized trials to evaluate system functions designed to increase patient use of the Recovery Line among methadone-maintained patients with continued illicit drug use. In Trial 1 (n = 60), patients received customized, system use recommendations or no recommendations on each Recovery Line call. Ratings of system usability were higher for customized recommendations (CR), but number of calls and total call time did not differ by condition. Trial 2 evaluated characteristics of reminder messages (message frame and reminder latency). Participants (N = 67) received gain- and loss-frame reminder messages, and were randomly assigned to immediate, short, or long term message latency. Although message framing had no effect, gender interacted with latency condition such that females did not differ by message latency, while males had significantly greater total contact time in the short latency conditions. Number of calls differed by condition over time such that the shorter latencies led to greater calls initially, but dissipated over time. Overall the study indicates that computer-based self-management systems can be adapted to increase patient engagement and use. (PsycINFO Database Record

Technology-based interventions and trainings to reduce the escalation and impact of alcohol problems

There has been a rapid increase in the development of technological innovations to reduce the escalation and impact of alcohol problems among adolescents and adults. Technology-based interventions offer the possibility of reaching individuals who otherwise might not seek treatment, (e.g., those in remote areas, those not perceiving a need for treatment, or others who may resist treatment). This article describes four case examples of technology-based interventions for risky drinking: 1) a freely available and interactive website that provides individualized feedback and information on risky drinking patterns; 2) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; 3) a computer-delivered screening and brief intervention for alcohol use among pregnant women, and 4) a simulation program for training social workers in screening and brief intervention. These case examples highlight how technology may have a role in addressing the Alcohol Misuse Grand Challenge.

Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research

Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.

A Brief Outline of the Use of New Technologies for Treating Substance Use Disorders in the European Union

BACKGROUND

Clinicians in the field of drug addiction have started to exploit the growth of Technology-Based Interventions (TBIs). However, there is little information on how health personnel evaluate them.

METHODS

Semi-structured interviews were conducted among 20 European experts.

RESULTS

All of the interviewees recognised TBIs as a valuable tool to improve the management of substance-use disorders (SUDs). Most interviewees indicated that combining both traditional face-to-face therapist-patient clinic appointment with TBIs is probably the most effective method. Most interviewees agree that TBIs are valuable tools to overcome both physical and social barriers, and hence significantly facilitate the access to treatment. Poor infrastructure and lack of digital literacy are recognised as major barriers to the diffusion of these tools.

CONCLUSIONS

The application of various forms of technology in SUD treatment is an interesting development for the European Union. Technical and non-technical barriers exist and impede their full exploitation.

eHealth Intervention for Problematic Internet Use (PIU)

Excessive use of the Internet is considered a problematic behaviour by clinicians and researchers. Cognitive behaviour therapy (CBT) has been advocated for a long time as a treatment approach and has been extended to include family therapy in the recent years. As eTherapy (eHealth) has become an important component in the treatment of many mental health problems, it is prudent to explore the current status of the eHealth approach as an intervention option for this problem. This systematic review aims to examine the current development of online intervention programmes for this particular condition. The PRISMA guidelines for systematic reviews and meta-analysis were employed to conduct the search for literature following a systematic and structured approach. Of the 182 articles screened, three satisfied the selection criteria. Information was extracted and analysed systematically for each study and tabulated. All these studies were pilot studies with small sample sizes. Two of these articles aimed to explore the therapeutic efficacy of newly developed online intervention programmes for Internet addiction (IA) and online gaming addiction. The third article described the design and development of an App for smartphone addiction. The results obtained from this review have provided insight into the on-going development of eHealth interventions as well as the health informatics approaches in offering a possible and practical solution to tackle this growing problem.

Technology-based Interventions for Preventing and Treating Substance Use Among Youth

Preventing or mitigating substance use among youth generally involves 3 different intervention frameworks: universal prevention, selective prevention, and treatment. Each of these levels of intervention poses unique therapeutic and implementation challenges. Technology-based interventions provide solutions to many of these problems by delivering evidence-based interventions in a consistent and cost-effective manner. This article summarizes the current state of the science of technology-based interventions for preventing substance use initiation and mitigating substance use and associated consequences among youth.

Randomized Trial of Computerized Cognitive Behavioral Therapy for Alcohol Use Disorders: Efficacy as a Virtual Stand-Alone and Treatment Add-On Compared with Standard Outpatient Treatment

BACKGROUND

Cognitive behavioral therapy (CBT) is an evidence-based treatment for alcohol use disorders (AUDs), yet is rarely implemented with high fidelity in clinical practice. Computer-based delivery of CBT offers the potential to address dissemination challenges, but to date there have been no evaluations of a web-based CBT program for alcohol use within a clinical sample.

METHODS

This study randomized treatment-seeking individuals with a current AUD to 1 of 3 treatments at a community outpatient facility: (i) standard treatment as usual (TAU); (ii) TAU plus on-site access to a computerized CBT targeting alcohol use (TAU + CBT4CBT); or (iii) CBT4CBT plus brief weekly clinical monitoring (CBT4CBT + monitoring). Participant alcohol use was assessed weekly during an 8-week treatment period, as well as 1, 3, and 6 months after treatment.

RESULTS

Sixty-eight individuals (65% male; 54% African American) were randomized (TAU = 22; TAU + CBT4CBT = 22; CBT4CBT + monitoring = 24). There were significantly higher rates of treatment completion among participants assigned to 1 of the CBT4CBT conditions compared to TAU (Wald = 6.86, p < 0.01). Significant reductions in alcohol use were found across all conditions within treatment, with participants assigned to TAU + CBT4CBT demonstrating greater increases in percentage of days abstinent (PDA) compared to TAU, t(536.4) = 2.68, p < 0.01, d = 0.71, 95% CI (0.60, 3.91), for the full sample. Preliminary findings suggest the estimated costs of all self-reported AUD-related services utilized by participants were considerably lower for those assigned to CBT4CBT conditions compared to TAU, both within treatment and during follow-up.

CONCLUSIONS

This trial demonstrated the safety, feasibility, and preliminary efficacy of web-based CBT4CBT targeting alcohol use. CBT4CBT was superior to TAU at increasing PDA when delivered as an add-on, and it was not significantly different from TAU or TAU + CBT4CBT when delivered with clinical monitoring only.

Implementation of a Substance Use Recovery Support Mobile Phone App in Community Settings: Qualitative Study of Clinician and Staff Perspectives of Facilitators and Barriers

BACKGROUND

Research supports the effectiveness of technology-based treatment approaches for substance use disorders. These approaches have the potential to broaden the reach of evidence-based care. Yet, there is limited understanding of factors associated with implementation of technology-based care approaches in different service settings.

OBJECTIVES

In this study, we explored provider and staff perceptions of facilitators and barriers to implementation of a mobile phone substance use recovery support app with clients in 4 service settings.

METHODS

Interviews were conducted with leadership and provider stakeholders (N=12) from 4 agencies in the first year of an implementation trial of the mobile phone app. We used the Consolidated Framework for Implementation Research as the conceptual foundation for identifying facilitators and barriers to implementation.

RESULTS

Implementation process facilitators included careful planning of all aspects of implementation before launch, engaging a dedicated team to implement and foster motivation, working collaboratively with the app development team to address technical barriers and adapt the app to meet client and agency needs, and consistently reviewing app usage data to inform progress. Implementation support strategies included training all staff to promote organization awareness about the recovery support app and emphasize its priority as a clinical care tool, encouraging clients to try the technology before committing to use, scaling rollout to clients, setting clear expectations with clients about use of the app, and using peer coaches and consistent client-centered messaging to promote engagement. Perceived compatibility of the mobile phone app with agency and client needs and readiness to implement emerged as salient agency-level implementation facilitators. Facilitating characteristics of the recovery support app itself included evidence of its impact for recovery support, perceived relative advantage of the app over usual care, the ability to adapt the app to improve client use, and its ease of use. The mobile phone itself was a strong motivation for clients to opt in to use the app in settings that provided phones. App access was limited in settings that did not provide phones owing to lack of mobile phone ownership or incompatibility of the app with clients' mobile phones. Individual differences in technology literacy and provider beliefs about substance use care either facilitated or challenged implementation. Awareness of patient needs and resources facilitated implementation, whereas external policies and regulations regarding technology use introduced barriers to implementation.

CONCLUSIONS

The conceptually grounded facilitators and barriers identified in this study can guide systematic targeting of strategies to improve implementation of mobile phone interventions in community treatment settings. Results also inform the design of technology-based therapeutic tools. This study highlights directions for research with regard to implementation of technology-based behavioral health care approaches.

Screening and Follow-Up Monitoring for Substance Use in Primary Care: An Exploration of Rural-Urban Variations

BACKGROUND

Rates of substance use in rural areas are close to those of urban areas. While recent efforts have emphasized integrated care as a promising model for addressing workforce shortages in providing behavioral health services to those living in medically underserved regions, little is known on how substance use problems are addressed in rural primary care settings.

OBJECTIVE

To examine rural-urban variations in screening and monitoring primary care- based patients for substance use problems in a state-wide mental health integration program.

DESIGN

This was an observational study using patient registry.

SUBJECTS

The study included adult enrollees (n = 15,843) with a mental disorder from 133 participating community health clinics.

MAIN OUTCOMES

We measured whether a standardized substance use instrument was used to screen patients at treatment entry and to monitor symptoms at follow-up visits.

KEY RESULTS

While on average 73.6 % of patients were screened for substance use, follow-up on substance use problems after initial screening was low (41.4 %); clinics in small/isolated rural settings appeared to be the lowest (13.6 %). Patients who were treated for a mental disorder or substance abuse in the past and who showed greater psychiatric complexities were more likely to receive a screening, whereas patients of small, isolated rural clinics and those traveling longer distances to the care facility were least likely to receive follow-up monitoring for their substance use problems.

CONCLUSIONS

Despite the prevalent substance misuse among patients with mental disorders, opportunities to screen this high-risk population for substance use and provide a timely follow-up for those identified as at risk remained overlooked in both rural and urban areas. Rural residents continue to bear a disproportionate burden of substance use problems, with rural-urban disparities found to be most salient in providing the continuum of services for patients with substance use problems in primary care.

Predictors of outcome from computer-based treatment for substance use disorders: Results from a randomized clinical trial

BACKGROUND

Although empirical evidence for the effectiveness of technology-mediated interventions for substance use disorders is rapidly growing, the role of baseline characteristics of patients in predicting treatment outcomes of a technology-based therapy is largely unknown.

METHOD

Participants were randomly assigned to either standard methadone maintenance treatment or reduced standard treatment combined with the computer-based therapeutic education system (TES). An array of demographic and behavioral characteristics of participants (N=160) was measured at baseline. Opioid abstinence and treatment retention were measured weekly for a 52-week intervention period. Generalized linear model and Cox-regression were used to estimate the predictive roles of baseline characteristics in predicting treatment outcomes.

RESULTS

We found significant predictors of opioid abstinence and treatment retention within and across conditions. Among 21 baseline characteristics of participants, employment status, anxiety, and ambivalent attitudes toward substance use predicted better opioid abstinence in the reduced-standard-plus-TES condition compared to standard treatment. Participants who had used cocaine/crack in the past 30 days at baseline showed lower dropout rates in standard treatment, whereas those who had not used exhibited lower dropout rates in the reduced-standard-plus-TES condition.

CONCLUSIONS

This study is the first randomized controlled trial, evaluating over a 12-month period, how various aspects of participant characteristics impact outcomes for treatments that do or do not include technology-based therapy. Compared to standard alone treatment, including TES as part of the care was preferable for patients who were employed, highly anxious, and ambivalent about substance use and did not produce worse outcomes for any subgroups of participants.

Precision in Addiction Care: Does It Make a Difference?

This perspective article explores the possibilities of precision in addiction care -- even better individually fitted or tailor-made care -- and examines what changes we need to make in order to realize sensible progress in epidemiological key figures. The first part gives a short review on the development of addiction care and tries to answer the question of where we stand now and what has been achieved in addiction science through the development and evaluation of interventions in the past decades. Following this analysis, attention will be paid to what lies ahead. This second part focuses on the question of how addiction care can deal with the consequences of the emerging paradigm of personalized or precision medicine, which is based on the fundamental assumption that individual differences matter. Finally, some limitations and conditions as well as tasks and goals for progress are raised. In conclusion, it is argued that integration of addiction care in (mental) health care in the future is desirable.

Computer-assisted behavioral therapy and contingency management for cannabis use disorder

Computer-assisted behavioral treatments hold promise for enhancing access to and reducing costs of treatments for substance use disorders. This study assessed the efficacy of a computer-assisted version of an efficacious, multicomponent treatment for cannabis use disorders (CUD), that is, motivational enhancement therapy, cognitive-behavioral therapy, and abstinence-based contingency-management (MET/CBT/CM). An initial cost comparison was also performed. Seventy-five adult participants, 59% Black, seeking treatment for CUD received either, MET only (BRIEF), therapist-delivered MET/CBT/CM (THERAPIST), or computer-delivered MET/CBT/CM (COMPUTER). During treatment, the THERAPIST and COMPUTER conditions engendered longer durations of continuous cannabis abstinence than BRIEF (p < .05), but did not differ from each other. Abstinence rates and reduction in days of use over time were maintained in COMPUTER at least as well as in THERAPIST. COMPUTER averaged approximately $130 (p < .05) less per case than THERAPIST in therapist costs, which offset most of the costs of CM. Results add to promising findings that illustrate potential for computer-assisted delivery methods to enhance access to evidence-based care, reduce costs, and possibly improve outcomes. The observed maintenance effects and the cost findings require replication in larger clinical trials.

Profile of internet access in active cocaine users

BACKGROUND AND OBJECTIVES

Web-based interventions have received attention for substance abuse treatment. Few studies have examined Internet use among substance users.

METHODS

Internet-use data were examined for 66 participants screened to participate in behavioral pharmacology studies.

RESULTS

A majority of active cocaine users reported regular Internet use. Demographic profiles generally did not impact Internet use, but Internet users were more likely to be younger and report other drug use.

DISCUSSION AND CONCLUSIONS

Active cocaine users have similar rates of Internet access as the general population.

SCIENTIFIC SIGNIFICANCE

Our findings contribute to the limited data on Internet use in active drug users by demonstrating Internet access in cocaine-using populations, supporting the use of this medium to conduct research and clinical interventions.

Using Interactive Web-Based Screening, Brief Intervention and Referral to Treatment in an Urban, Safety-Net HIV Clinic

Substance use among people living with HIV is high, and screening, brief intervention, and referral to treatment (SBIRT) is an evidence-based approach to addressing the issue. We examined whether patients would participate in a technology-based SBIRT program in an urban HIV clinic. An SBIRT intervention was programmed into the clinic's web-based patient portal linked to their personal health record. We examined: demographic, health, HIV, and substance use characteristics of participants who completed the web-based intervention compared to those who did not. Fewer than half of the 96 participants assigned to the web-based SBIRT completed it (n = 39; 41 %). Participants who completed the web-based intervention had significantly higher amphetamine SSIS scores than those who did not complete the intervention. Participants whose substance use is more harmful may be more motivated to seek help from a variety of sources. In addition, it is important that technology-based approaches to behavioral interventions in clinics take into consideration feasibility, client knowledge, and comfort using technology.

Mechanisms of change associated with technology-based interventions for substance use

BACKGROUND

Technology-based interventions (TBIs) for substance use disorders have been increasing steadily. The mechanisms by which TBIs produce change in substance use outcomes have not been reviewed. This article is the first review of the conceptual and empirical underpinnings of the mechanisms associated with TBIs for substance use disorders.

METHODS

We review the literature on potential mechanisms associated with TBIs targeting tobacco, alcohol, and poly-substance use. We did not identify TBIs targeting other drug classes and that assessed mechanisms.

RESULTS

Research suggests that TBIs impact outcomes via similar potential mechanisms as in non-TBIs (e.g., in-person treatment), with the exception of substance use outcomes being associated with changes in the quality of coping skills. The most frequent potential mechanisms detected were self-efficacy for tobacco abstinence and perceived peer drinking for alcohol abstinence.

CONCLUSIONS

Research on mechanisms associated with TBIs is still in a nascent stage. We provide several recommendations for future work, including broadening the range of mechanisms assessed and increasing the frequency of assessment to detect temporal relations between mechanisms and outcomes. We also discuss unique challenges and opportunities afforded by technology that can advance theory, method, and clinical practice.

Only connect: The working alliance in computer-based cognitive behavioral therapy

The limited role of therapists in some technology-based interventions raises questions as to whether clients may develop a 'working alliance' with the program, and the impact on relationships with a therapist and/or treatment outcomes. In this study, the Working Alliance Inventory (WAI), and an adapted version for technology-based interventions (WAI-Tech), were administered within a subsample (n = 66) of cocaine-dependent individuals participating in a randomized trial evaluating the efficacy of Computer-Based Training for Cognitive Behavioral Therapy (CBT4CBT) as an adjunct to treatment as usual (TAU). Results suggest the WAI-Tech has relatively similar psychometric characteristics as the standard WAI; however the 'bond' subscale scores were lower on the WAI-Tech [F(1,52) = 5.78, p < .05]. Scores on the WAI-Tech were not associated with cocaine use outcomes, whereas total scores on the WAI for those assigned to TAU were associated with the percentage of days abstinent from cocaine (r = .43, p < .05). There was little evidence that adding a technology-based intervention adversely affected the working alliance with a therapist in this sample. These preliminary findings suggest some concepts of working alliance may apply to computer-based CBT, yet the function of the alliance may be different in technology-based interventions than in face-to-face psychotherapies.

Optimizing behavioral health interventions with single-case designs: from development to dissemination

Over the past 70 years, single-case design (SCD) research has evolved to include a broad array of methodological and analytic advances. In this article, we describe some of these advances and discuss how SCDs can be used to optimize behavioral health interventions. Specifically, we discuss how parametric analysis, component analysis, and systematic replications can be used to optimize interventions. We also describe how SCDs can address other features of optimization, which include establishing generality and enabling personalized behavioral medicine. Throughout, we highlight how SCDs can be used during both the development and dissemination stages of behavioral health interventions.