Working memory training and high magnitude incentives for youth cannabis use: A SMART pilot trial

Teens train your brain! A mixed-methods feasibility trial of a working memory training program for adolescents from an economically disadvantaged community

Exposure to early socioeconomic disadvantage impacts the development of working memory, a component of executive functions underlying engagement in risky behaviors including substance misuse. Given that working memory develops across adolescence, coinciding with increases in the onset and rapid escalation of substance use and other risky behaviors, interventions designed to improve working memory may have promise for supporting behavioral health for youth from low-resource areas. However most working memory programs have been developed for adults from higher-resource contexts and may not be feasible for youth from socioeconomically distressed communities. The current study (n = 23) uses a mixed methods approach to evaluate the implementation potential and preliminary effectiveness of a computer-based working memory training program among youth ages 12 to 16 from a very low-resource community. Participants (48% female; 100% Black) were administered tests of working memory before and after completing a working memory program or a control computer program. Results suggest youth in the active condition found the intervention to be acceptable, appropriate and enjoyable and evidenced statistically significant increases in working memory. No improvement was seen among youth in the comparison condition. Findings suggest preliminary support for implementation of this program in an impoverished urban setting.

Five Challenges in Implementing Cognitive Remediation for Patients with Substance Use Disorders in Clinical Settings

Many patients with substance use disorders (SUDs) present cognitive deficits, which are associated with clinical outcomes. Neuropsychological remediation might help rehabilitate cognitive functions in these populations, hence improving treatment effectiveness. Nardo and colleagues (Neuropsychology Review, 32, 161-191, 2022) reviewed 32 studies applying cognitive remediation for patients with SUDs. They underlined the heterogeneity and lack of quality of studies in this research field but concluded that cognitive remediation remains a promising tool for addictive disorders. We capitalize on the insights of this review to identify the key barriers that currently hinder the practical implementation of cognitive remediation in clinical settings. We outline five issues to be addressed, namely, (1) the integration of cognitive remediation in clinical practices; (2) the selection criteria and individual factors to consider; (3) the timing to be followed; (4) the priority across trained cognitive functions; and (5) the generalization of the improvements obtained. We finally propose that cognitive remediation should not be limited to classical cognitive functions but should also be extended toward substance-related biases and social cognition, two categories of processes that are also involved in the emergence and persistence of SUDs.

Systematic review of treatment completion rates and correlates among young people accessing alcohol and other drug treatment

BACKGROUND AND AIMS

Treatment completion is associated with improved alcohol and other drug (AOD) treatment outcomes. Unfortunately, treatment disengagement is common, particularly among young people. We reviewed and synthesised research on AOD treatment completion and/or early disengagement among young people.

METHODS

We conducted a systematic review and meta-analysis of studies reporting on completion rates and/or early disengagement from psychosocial AOD treatment among adolescents and young adults. An overall estimated treatment completion rate was calculated using inverse-variance random effects meta-analysis, and random-effects meta-regression was used to identify between-study level moderators of completion rate. We completed a narrative review summarising literature on early treatment disengagement and within-study level correlates of treatment completion. Study quality was assessed using the EPHPP.

RESULTS

Of the 6158 studies screened, we retained 410 for full text review and included 98 studies in the review. Treatment completion rates were reported in 88 studies, and early disengagement rates were reported in 13. The estimated overall treatment completion rate was 59 % (95 % CI=57-61 %), with experimental studies reporting higher rates of completion than observational studies. There was limited evidence for demographic or substance-related correlates of treatment completion. Contingency management was associated with increased completion rates, as was family-based intervention.

CONCLUSIONS

Disengagement from AOD treatment among youth populations is common and contributes to poor treatment outcomes. Existing research has yielded little consensus on the factors associated with treatment completion. The use of contingency management strategies and involving family/social supports in treatment were identified as potential avenues for promoting ongoing treatment engagement.

SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements

Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increasingly important role in psychological and behavioral health research. This experimental approach enables researchers to answer scientific questions about how to sequence and match interventions to the unique, changing needs of individuals. A variety of sample size planning resources for SMART studies have been developed, enabling researchers to plan SMARTs for addressing different types of scientific questions. However, relatively limited attention has been given to planning SMARTs with binary (dichotomous) outcomes, which often require higher sample sizes relative to continuous outcomes. Existing resources for estimating sample size requirements for SMARTs with binary outcomes do not consider the potential to improve power by including a baseline measurement and/or multiple repeated outcome measurements. The current paper addresses this issue by providing sample size planning simulation procedures and approximate formulas for two-wave repeated measures binary outcomes (i.e., two measurement times for the outcome variable, before and after intervention delivery). The simulation results agree well with the formulas. We also discuss how to use simulations to calculate power for studies with more than two outcome measurement occasions. Results show that having at least one repeated measurement of the outcome can substantially improve power under certain conditions.

Psychological Interventions for Cannabis Use among Adolescents and Young Adults: A Systematic Review

Regular cannabis use during adolescence can lead to cognitive, psychological, and social consequences, causing significant distress. Although psychological interventions are the mainstay type of treatment for cannabis use disorder, the results remain mixed among youths. The objective of this review is twofold: to identify the existing psychological interventions for cannabis use among youths, and to assess the evidence regarding the effectiveness of those interventions. Randomized controlled trials focused exclusively on cannabis use among adolescents and young adults were included. Three databases-Embase, PsycInfo, and PubMed-were searched to identify relevant peer-reviewed manuscripts published before February 2022 in English and French. The risk of bias was assessed using the Cochrane Collaboration's tool. Twenty-five randomized controlled trials were included. Fourteen studies reported a significant outcome related to cannabis use. These were mainly non-intensive, online interventions that aimed to improve the patients' relationships and emotion regulation. This review highlights the need to conduct additional randomized control trials that target cannabis use disorder specifically among adolescents. These randomized control trials should also aim to reduce the risk of bias related to psychiatric comorbidities as well as detection and attrition problems.

Intersection between social inequality and emotion regulation on emerging adult cannabis use

Emerging adulthood (EA; ages 18-25) is characterized by socioemotional and neurodevelopmental challenges. Cannabis is a widely used substance among EAs, and hazardous use may increase risk for sustained use patterns and related health consequences. Research shows differential increases in hazardous use by objective as well as subjective measures of social inequality, with more concerning trajectories for youth with greater experiences of social inequality. Learning how to flexibly monitor and modify emotions in proactive ways (i.e., emotion regulation) is a central developmental task navigated during the EA window. Challenges to and with emotion regulation processes can contribute to the emergence of mental health symptoms during EA, including hazardous cannabis use. In this perspective, we highlight emotion dysregulation and social inequality as two critical factors that interact to either buffer against or exacerbate cannabis use during the EA period, noting critical gaps in the literature that merit additional research. We recommend novel methods and longitudinal designs to help clarify how dynamic cognition-emotion interplay predicts trajectories of negative emotional experiences and cannabis use in EA.

MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions

Advances in digital technologies have created unprecedented opportunities to deliver effective and scalable behavior change interventions. Many digital interventions include multiple components, namely several aspects of the intervention that can be differentiated for systematic investigation. Various types of experimental approaches have been developed in recent years to enable researchers to obtain the empirical evidence necessary for the development of effective multiple-component interventions. These include factorial designs, Sequential Multiple Assignment Randomized Trials (SMARTs), and Micro-Randomized Trials (MRTs). An important challenge facing researchers concerns selecting the right type of design to match their scientific questions. Here, we propose MCMTC – a pragmatic framework that can be used to guide investigators interested in developing digital interventions in deciding which experimental approach to select. This framework includes five questions that investigators are encouraged to answer in the process of selecting the most suitable design: (1) Multiple-component intervention: Is the goal to develop an intervention that includes multiple components; (2) Component selection: Are there open scientific questions about the selection of specific components for inclusion in the intervention; (3) More than a single component: Are there open scientific questions about the inclusion of more than a single component in the intervention; (4) Timing: Are there open scientific questions about the timing of component delivery, that is when to deliver specific components; and (5) Change: Are the components in question designed to address conditions that change relatively slowly (e.g., over months or weeks) or rapidly (e.g., every day, hours, minutes). Throughout we use examples of tobacco cessation digital interventions to illustrate the process of selecting a design by answering these questions. For simplicity we focus exclusively on four experimental approaches—standard two- or multi-arm randomized trials, classic factorial designs, SMARTs, and MRTs—acknowledging that the array of possible experimental approaches for developing digital interventions is not limited to these designs.

Cognitive Remediation as an Adjunct Treatment for Substance Use Disorders: A Systematic Review

Substance use disorders are associated with diverse neuropsychological impairments, with deficits in memory and executive functioning commonly observed. Cognitive remediation has been shown to be effective in other populations with cognitive impairments in these domains, including those with psychiatric disorders and acquired brain injuries, and it has been hypothesised to be similarly effective for those in treatment for substance use disorders. We aimed to systematically review the evidence for cognitive remediation interventions administered as an adjunct treatment to substance use rehabilitation. Studies were included if participants were receiving substance use treatment, if improving cognitive functioning was the main focus of the intervention and if they used an experimental design with a control condition receiving treatment-as-usual or an active control intervention. Two independent reviewers agreed on the final selection of 32 studies, encompassing cognitive remediation for working memory, memory, executive functioning and general cognition. Significant differences between intervention and control groups for cognitive test results and treatment outcomes were extracted and compared across treatment approaches. The review found considerable heterogeneity across studies, including in the types of interventions, the nature of participants and the outcome measures used. Further, a lack of quality studies with sufficient power meant that limited conclusions could be drawn, highlighting a need for further replication and research. However, findings indicate that cognitive remediation remains a promising potential avenue for improving cognition and treatment outcomes for those in treatment for substance use disorders. Protocol submitted prospectively to PROSPERO 30.09.2019, CRD42020150978.

Workshop on the Development and Evaluation of Digital Therapeutics for Health Behavior Change: Science, Methods, and Projects

The health care field has integrated advances into digital technology at an accelerating pace to improve health behavior, health care delivery, and cost-effectiveness of care. The realm of behavioral science has embraced this evolution of digital health, allowing for an exciting roadmap for advancing care by addressing the many challenges to the field via technological innovations. Digital therapeutics offer the potential to extend the reach of effective interventions at reduced cost and patient burden and to increase the potency of existing interventions. Intervention models have included the use of digital tools as supplements to standard care models, as tools that can replace a portion of treatment as usual, or as stand-alone tools accessed outside of care settings or direct to the consumer. To advance the potential public health impact of this promising line of research, multiple areas warrant further development and investigation. The Center for Technology and Behavioral Health (CTBH), a P30 Center of Excellence supported by the National Institute on Drug Abuse at the National Institutes of Health, is an interdisciplinary research center at Dartmouth College focused on the goal of harnessing existing and emerging technologies to effectively develop and deliver evidence-based interventions for substance use and co-occurring disorders. The CTBH launched a series of workshops to encourage and expand multidisciplinary collaborations among Dartmouth scientists and international CTBH affiliates engaged in research related to digital technology and behavioral health (eg, addiction science, behavioral health intervention, technology development, computer science and engineering, digital security, health economics, and implementation science). This paper summarizes a workshop conducted on the Development and Evaluation of Digital Therapeutics for Behavior Change, which addressed (1) principles of behavior change, (2) methods of identifying and testing the underlying mechanisms of behavior change, (3) conceptual frameworks for optimizing applications for mental health and addictive behavior, and (4) the diversity of experimental methods and designs that are essential to the successful development and testing of digital therapeutics. Examples were presented of ongoing CTBH projects focused on identifying and improving the measurement of health behavior change mechanisms and the development and evaluation of digital therapeutics. In summary, the workshop showcased the myriad research targets that will be instrumental in promoting and accelerating progress in the field of digital health and health behavior change and illustrated how the CTBH provides a model of multidisciplinary leadership and collaboration that can facilitate innovative, science-based efforts to address the health behavior challenges afflicting our communities.