Real-time, contextual intervention using mobile technology to reduce marijuana use among youth: a pilot study

The effectiveness of mobile-based ecological momentary motivational enhancement therapy in reducing craving and severity of cannabis use disorder: Study protocol for a randomized controlled trial

Objective

This study aims to investigate the effectiveness of Ecological Momentary Motivational Enhancement Therapy (EM-MET) in reducing craving and severity of Cannabis Use Disorder (CUD) among young adults.

Methods

This multicenter, single-blinded randomized controlled trial (RCT) will be conducted over a period of 11 weeks. Eighty patients with CUD will be randomly assigned to two equal-sized parallel groups, either the Motivational Enhancement Therapy (MET) group or the EM-MET group. All participants will receive four individual face-to-face sessions of MET (twice a week). The MET group will not receive any other treatments after these sessions; however, in the EM-MET group, the top triggers of patients will be assessed using mobile-based Ecological Momentary Assessment (EMA) five times a day within three weeks (after face-to-face sessions) and they will receive a call from the therapist who provides them with EM-MET (in the form of an emergency telephone helpline) as soon as they report experiencing triggers of cannabis use that are assessed using EMA in their everyday lives. Primary outcomes including CUD severity and the severity of craving will be evaluated using the Leeds Dependence Questionnaire and the Self-efficacy and Temptation Scale, respectively. These assessments will be conducted at pre-treatment, post-treatment, and a six-week follow-up.

Discussion

If proven feasible and effective, the results of this study will offer clinicians an evidence-based treatment approach to address craving and dependency in patients with CUD. Moreover, these patients will receive effective treatment in real time and in real life, when and where it is most needed. However, it is important to consider the limitations of this study, such as the specific population studied in Tehran, Iran, which may affect the generalizability of the results. Nevertheless, the implementation of Ecological Momentary Interventions (EMIs) in real-life settings holds promise for timely and effective treatment.Trial registration: This trial was registered in the Iranian Registry of Clinical Trials on 21 February 2023. Registry No. IRCT20221224056908N1.

Predicting quantity of cannabis smoked in daily life: An exploratory study using machine learning

BACKGROUND

Cannabis use is prevalent in the United States and is associated with a host of negative consequences. Importantly, a robust indicator of negative consequences is the amount of cannabis consumed.

METHODS

Data were obtained from fifty-two adult, regular cannabis flower users (3+ times per week) recruited from the community; participants completed multiple ecological momentary assessment (EMA) surveys each day for 14 days. In this exploratory study, we used various machine learning algorithms to build models to predict the amount of cannabis smoked since participants' last report including forty-three EMA measures of mood, impulsivity, pain, alcohol use, cigarette use, craving, cannabis potency, cannabis use motivation, subjective effects of cannabis, social context, and location in daily life.

RESULTS

Our best-fitting model (Gradient Boosted Trees; 71.15% accuracy, 72.46% precision) found that affects, subjective effects of cannabis, and cannabis use motives were among the best predictors of cannabis use amount in daily life. The social context of being with others, and particularly with a partner or friend, was moderately weighted in the final prediction model, but contextual items reflecting location were not strongly weighted in the final prediction model, the one exception being not at work.

CONCLUSIONS

Machine learning approaches can help identify additional environmental and psychological phenomena that may be clinically-relevant to cannabis use.

The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysis

BACKGROUND

Substance use amongst young people poses developmental and clinical challenges, necessitating early detection and treatment. Considering the widespread use of technology in young people, delivering interventions digitally may help to reduce and monitor their substance use.

AIMS

We conducted a systematic review and two meta-analyses to assess the effectiveness of digital interventions for reducing substance use (alcohol, smoking, and other substances) among young people aged 10 to 24 years old.

METHOD

Embase, Global Health, Medline, PsychINFO, Web of Science and reference lists of relevant papers were searched in November 2020. Studies were included if they quantitatively evaluated the effectiveness of digital health technologies for treating substance use. A narrative synthesis and meta-analysis were conducted.

RESULTS

Forty-two studies were included in the systematic review and 18 in the meta-analyses. Digital interventions showed small, but statistically significant reductions in weekly alcohol consumption compared to controls (SMD= -0.12, 95% CI= -0.17 to -0.06, I2=0%), but no overall effect was seen on 30-day smoking abstinence (OR = 1.12, 95% CI = 0.70 to 1.80, I2=81%). The effectiveness of digital interventions for reducing substance use is generally weak, however, promising results such as reducing alcohol use were seen. Large-scale studies should investigate the viability of digital interventions, collect user feedback, and determine cost-effectiveness.

PRISMA/PROSPERO

This systematic review was conducted following Cochrane methodology PRISMA guidelines. The review was registered with PROSPERO in November 2020 (CRD42020218442).

Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review

BACKGROUND AND AIMS

Lapse risk when trying to stop or reduce harmful substance use is idiosyncratic, dynamic and multi-factorial. Just-in-time adaptive interventions (JITAIs) aim to deliver tailored support at moments of need or opportunity. We aimed to synthesize evidence on decision points, tailoring variables, intervention options, decision rules, study designs, user engagement and effectiveness of technology-mediated JITAIs for reducing harmful substance use.

METHODS

Systematic review of empirical studies of any design with a narrative synthesis. We searched Ovid MEDLINE, Embase, PsycINFO, Web of Science, the ACM Digital Library, the IEEE Digital Library, ClinicalTrials.gov, the ISRCTN register and dblp using terms related to substance use/mHealth/JITAIs. Outcomes were user engagement and intervention effectiveness. Study quality was assessed with the mHealth Evidence Reporting and Assessment checklist.

FINDINGS

We included 17 reports of 14 unique studies, including two randomized controlled trials. JITAIs targeted alcohol (S = 7, n = 120 520), tobacco (S = 4, n = 187), cannabis (S = 2, n = 97) and a combination of alcohol and illicit substance use (S = 1, n = 63), and primarily relied on active measurement and static (i.e. time-invariant) decision rules to deliver support tailored to micro-scale changes in mood or urges. Two studies used data from prior participants and four drew upon theory to devise decision rules. Engagement with available JITAIs was moderate-to-high and evidence of effectiveness was mixed. Due to substantial heterogeneity in study designs and outcome variables assessed, no meta-analysis was performed. Many studies reported insufficient detail on JITAI infrastructure, content, development costs and data security.

CONCLUSIONS

Current implementations of just-in-time adaptive interventions (JITAIs) for reducing harmful substance use rely on active measurement and static decision rules to deliver support tailored to micro-scale changes in mood or urges. Studies on JITAI effectiveness are lacking.

Trends in cannabis-related attitudes and behaviors among cannabis-using adolescent and young adult outpatients following medical cannabis legalization in Massachusetts

Background: Among youth already using cannabis, legalization of medical cannabis may influence cannabis-related attitudes and behaviors, including increasing access through use of someone else's medical cannabis (diversion). Objective: To examine cannabis-related attitudes and behaviors (including diverted cannabis use) in cannabis-using youth in the four years following medical cannabis legalization. Additionally, we investigated characteristics of youth who used vs. did not use diverted medical cannabis. Methods: Data were collected in Boston from 2013 (when medical cannabis legislation took effect in Massachusetts) through 2016 (when recreational cannabis use became legal in Massachusetts). Cannabis-using youth (age 13-24) presenting to an outpatient adolescent substance use treatment program (ASUTP) or recruited for an adolescent medicine clinic study (AMCS) completed a confidential survey on demographic characteristics and cannabis use behaviors and attitudes. We used multiple logistic regression to analyze changes in attitudes and behaviors over three years versus the reference year (2013), controlling for demographics. We used chi-square to compare characteristics of youth reporting use of diverted medical cannabis versus those not. Results: The sample included 273 cannabis-using youth (ASUTP n = 203, AMCS n = 70; 2013 n = 67, 2014 n = 67, 2015 n = 77, 2016 n = 62). Mean ± SD age was 18.2 ± 2.5 years, 32% were female, 58% were White non-Hispanic, and 70% had college-graduate parents. In 2013, most youth reported that cannabis was easy to obtain (97.9%), and that occasional cannabis use had "no" or "slight" risk of harm (89.4%), with little change across years. In 2016, 44% of youth reported using someone else's medical cannabis, versus 15% in 2013 (aOR 4.66, 95% CI 1.81, 11.95). Youth using diverted medical cannabis had higher likelihood of reporting riding with a driver, or driving themselves, after cannabis use (both p < .01). Conclusion: Among at-risk youth in Massachusetts, use of diverted medical cannabis increased after medical cannabis legalization, and those using diverted medical cannabis reported higher risk for cannabis-related traffic injury.

Developing a Smartphone-Based Adjunct Intervention to Reduce Cannabis Use Among Juvenile Justice-Involved Adolescents: A Multiphase Study Protocol (Preprint)

Background

Adolescents involved in the juvenile justice system who use cannabis are at an increased risk of future substance use disorders and rearrest. Many court-involved, nonincarcerated (CINI) youth are referred for services in the community and often encounter multiple barriers to care, highlighting the need for minimally burdensome services that can be delivered in justice settings. Digital health interventions are accessible, easy to implement, and can provide ongoing support but have not been developed to address the unique needs of CINI youth who use cannabis.

Objective

This multiphase study will aim to develop, implement, and pilot test a novel smartphone app, Teen Empowerment through Computerized Health (TECH), to reduce cannabis and other substance use among CINI youth. TECH is conceptualized as a digital adjunct to a brief computerized intervention delivered by our family court partner.

Methods

Following the principles of user-centered design, phase I interviews with CINI youth aged 14-18 years (n=14-18), their caregivers (n=6-8), and behavioral health app developers (n=6-8) will guide the TECH design decisions. Next, in phase II, CINI youth (n=10) will beta test the TECH app prototype for 1 month; their feedback regarding feasibility and acceptability will directly inform the app refinement process. Finally, in phase III, CINI youth (n=60) will participate in a pilot randomized controlled trial for 6 months, comparing the preliminary effectiveness of the adjunctive TECH app on cannabis use outcomes.

Results

Phase I data collection began in September 2020 and was completed in December 2021; 14 CINI youth, 8 caregivers, and 11 behavioral health app developers participated in the study. Phases II and III will occur in 2022 and 2023 and 2023 and 2025, respectively.

Conclusions

This body of work will provide insight into the feasibility and acceptability of a smartphone-based adjunctive intervention designed for CINI youth. Phase III results will offer a preliminary indication of the effectiveness of the TECH app in reducing cannabis use among CINI youth.

International Registered Report Identifier (IRRID)

DERR1-10.2196/35402

Systematic Review of Smartphone Apps as a mHealth Intervention to Address Substance Abuse in Adolescents and Adults

BACKGROUND

Substance abuse represents a foremost national concern for adolescents and adults; investigators have implemented a variety of interventions, delivered with both in-person and mobile-based apps' modalities. The electronic techniques could be more effective because they avoid the cost, privacy, and accessibility issues associated with in-person intervention. To address this issue, a systematic review of the scientific evidence relative to the efficacy of app-based interventions delivered by mobile devices (smartphones) to reduce substance abuse in adolescents and adults was carried out.

METHODS

To identify relevant studies published from 2005 to 2019, a comprehensive search was conducted. Databases that were searched include CINAHL, Cochrane CENTRAL, Embase, PsycINFO, PubMed, and Web of Science. Keywords and relevant controlled vocabulary terms related to substance abuse and technology were included. Studies were included if they had examined reductions in substance abuse and problem behaviors as a primary outcome with app-based interventions delivered to adolescents and adults.

RESULTS

The initial search yielded 21,641 articles, duplicates were removed, and 14,797 citations remained; title/abstract screening yielded 190 full-text articles. One hundred seventy-three were excluded because they did not meet the inclusion criteria, leaving 17 final articles to be analyzed in this review. Use of app-based interventions showed some evidence of effectiveness in reducing substance abuse in the adolescent adult population.

CONCLUSION

Most intervention studies analyzed focused on alcohol reduction. Further research is needed on diverse substance abuse utilizing larger sample sizes, longitudinal studies, and theoretical foundations on the practice of delivering interventions using mobile-based apps.

Delivering information about medication assisted treatment to individuals who misuse opioids through a mobile app: a pilot study

BACKGROUND

Digital therapeutic tools (e.g. mobile applications) can be accessible, low-cost interventions that counter misconceptions about medication assisted treatment (MAT) and/or improve deficits in MAT knowledge that are common barriers to treatment entry among individuals with opioid dependence. The purpose of this pilot study was to examine the preliminary effectiveness of a mobile application, 'uMAT-R', that includes health information about OUD recovery supported by science and MAT benefits.

METHODS

Twenty-six adult participants with OUD recruited via social media completed all modules and pre/post-assessments within uMAT-R. McNemar's test was used to compare interest in treatment before and after completing the app, and paired t tests were used to compare MAT attitude scores before and after completing the modules within uMAT-R.

RESULTS

Before viewing uMAT-R, 32% agreed/strongly agreed that they were interested in starting treatment to recover from opioid misuse, compared to 48% after completing uMAT-R. The average scores on the MAT attitudes scale and its Aid to Behavior Change subscale improved from before to after viewing uMAT-R. Among the participants, 88% felt that uMAT-R would be useful to consult when making decisions about recovery.

CONCLUSIONS

Our encouraging pilot findings support the use of uMAT-R to help address the current opioid epidemic.

A Smartphone-Delivered Ecological Momentary Intervention for Problem Gambling (GamblingLess: Curb Your Urge): Single-Arm Acceptability and Feasibility Trial

Background

Low uptake rates of traditional gambling treatments highlight the need for innovative treatment modalities. Smartphone apps can provide unprecedented access to real-time ecological momentary interventions (EMIs) delivered in people’s everyday lives.

Objective

This study aims to examine the acceptability, feasibility, and preliminary effectiveness of GamblingLess: Curb Your Urge, the first smartphone app–delivered EMI that aims to prevent gambling episodes by reducing craving intensity in people seeking help for gambling problems.

Methods

This study was a single-arm, 5-week acceptability and feasibility trial (1-week baseline and 4-week intervention periods) involving ecological momentary assessments (EMAs) delivered 3 times daily. The EMAs measured gambling episodes, cravings, and self-efficacy. Web-based evaluations at baseline, postintervention, and 1-month follow-up measured gambling outcomes (severity, cravings, frequency, expenditure, and self-efficacy) and the intervention’s perceived helpfulness, relevance, burden, satisfaction, and impact in relation to gambling cravings.

Results

A total of 36 participants, of whom 22/36 (61%) were male and 34/36 (94%) were problem gamblers, completed the baseline measures, with 61% (22/36) completing the postintervention evaluation and 58% (21/36) completing the follow-up evaluation. The intervention was considered acceptable, as participants perceived all intervention content to be above average in helpfulness and the EMA to be highly relevant but somewhat burdensome. Participants reported that they were satisfied with the intervention and that the intervention improved their knowledge, attitudes, awareness, behavior change, intention to change, and help-seeking behavior for gambling cravings. Regarding the intervention’s feasibility, compliance rates for the EMA (51%) and EMI (15%) were low; however, the intervention was used 166 times, including 59 uses within 60 minutes of EMA completion and 107 on-demand uses. Regarding the intervention’s preliminary effectiveness, descriptive EMA data showed that, compared with the baseline period, 71% and 72% reductions in the average number of gambling episodes and craving occurrences were reported in the intervention period, respectively. In addition, clustered paired-sample two-tailed t tests revealed a significant 5.4% reduction in real-time craving intensity (P=.01) immediately after intervention use, which increased to 10.5% (P=.01), where use was recommended based on craving occurrence. At the group level, significant medium-to-large reductions were observed in mean gambling symptom severity (P=.01 and .003), cravings (P=.03 and .02), frequency (P=.01 and .004), and expenditure (P=.04 and .003) at postintervention and follow-up; moreover, increased mean gambling self-efficacy and craving self-efficacy (P=.01 and .01) were observed at postintervention and increased gambling self-efficacy (P=.04) was observed at follow-up. At the individual level, over a quarter of participants (6/22, 27% to 10/21, 48%) could be categorized as recovered or improved regarding their gambling symptom severity and cravings.

Conclusions

The results support the acceptability, feasibility, and preliminary effectiveness of this app-delivered EMI for preventing gambling episodes through craving management in people with gambling problems, which has implications for extending the reach of evidence-based treatment to moments of vulnerability in people’s everyday lives.

Interventions for cannabis use disorder

How to treat adults and adolescents with a Cannabis Use Disorder is a burgeoning research area. This article reviews the empirical literature pertaining to several psychosocial approaches (cognitive-behavior therapy, motivational enhancement, and contingency management), all of which are associated with favorable outcomes. We also review the emerging research on the use of pharmacotherapy, brief interventions and technology-delivered interventions, and conclude with an overview of future research needs.

Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review

BACKGROUND

Connected interventions use data collected through mobile/wearable devices to trigger real-time interventions and have great potential to improve treatment for substance use disorder (SUD). This review aims to describe the current landscape, effectiveness and usability of connected interventions for SUD.

METHODS

A systematic review was conducted to identify articles evaluating connected health interventions for SUD in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Three databases (PubMed, IEEE, and Scopus) were searched over a five-year period. Included articles described a connected health intervention targeting SUD and provided outcomes data. Data were extracted using a standardized reporting tool.

RESULTS

A total of 1676 unique articles were identified during the initial search, with 32 articles included in the final analysis. Seven articles of the 32 were derived from two large studies. The most commonly studied SUD was alcohol use disorder. Sixteen articles reported at least one statistically significant result with respect to reduced craving and/or substance use. The majority of articles used ecological momentary assessment to trigger interventions, while four used biologic/physiologic data. Two articles used a wearable device. Common intervention types included craving management, coping assistance, and tailored feedback. Twenty-three articles measured usability factors, and acceptability was generally reported as high.

CONCLUSION

Identified themes included a focus on AUD, use of smart phones, use of EMA for intervention delivery, positive effects on SUD related outcomes, and overall high acceptability. Wearables that directly monitor biologic data and predictive analytics using integrated data streams represent understudied opportunities for new research.

Impact of Cognitive and Social Factors on Smoking Cessation Attempts among US Adult Muslim Smokers

Background

Muslims in the United States (US) exhibit high rates of cigarette smoking. Guided by the Social Cognitive Theory, the study aimed to investigate the associations between the number of serious cigarette smoking cessation attempts and cognitive as well as environmental factors in adult US Muslim smokers.

Methods

This cross-sectional study was based on a convenience sample of adult (≥ 18 years) US Muslim smokers. After receiving IRB approval, data were collected using an on-line survey. Unadjusted Poisson regression followed by adjusted multivariable Poisson regression analyses were conducted to answer the research question.

Results

One hundred thirty-two smokers completed the questionnaire. Smokers reported more serious cigarette smoking cessation attempts if they 1) had more knowledge about the consequences of cigarette smoking cessation, 2) had more positive attitudes regarding quitting, and 3) reported greater religiosity. Additionally, smokers reported fewer serious cigarette smoking cessation attempts if they 1) were employed, 2) affiliated with Sunnah sect, 3) reported better self-assessed health, 4) reported higher perceived value for quitting, and 5) indicated that using tobacco was not allowed inside the home. Only three smokers reported using both prescription medications and counseling to aid with smoking cessation attempts.

Conclusions

Inadequate utilization of pharmaceutical smoking cessation products and provider professional assistance may exacerbate the problems associated with elevated rates of smoking among US Muslim smokers. Knowledge of the consequences, more positive attitudes, and greater religiosity can be influential constructs in future interventions aimed at encouraging smoking cessation attempts in this population.

A preliminary test of a brief intervention to lessen young adults' cannabis use: Episode-level smartphone data highlights the role of protective behavioral strategies and exercise

Brief interventions are increasingly being used to help young adults to moderate their cannabis use. We conducted a randomized clinical trial of a brief (4 weekly sessions), in-person intervention that included a smartphone application that reinforced the use of protective behavioral strategies (PBSs) to lessen cannabis use. Young adults (N = 37; 24 men) who regularly used cannabis were randomized to 2 intervention conditions rooted in cognitive-behavioral therapy (CBT) and motivational enhancement therapy (MET). Along with learning CBT + MET strategies, participants in 1 of the conditions were instructed to engage in exercise. All participants used smartphone-based ecological momentary assessment to provide episode-level reports about use of cannabis and PBSs. Two multilevel structural equation models were run to test the study hypotheses that (a) cannabis use would be reduced over the course of the 6-month study, (b) reductions would be moderated by intervention condition, and (c) episode-level PBS use would predict episode-level cannabis use. Participants reduced their cannabis use by approximately 1 half of a standard joint per time point. The MET + CBT + Exercise condition reduced cannabis use to a greater degree than did the MET + CBT condition. With episode-level PBS use in the model, reductions in cannabis use were independent of intervention condition. Our findings suggest that young adults will engage with a smartphone app that serves as a component of an in-person intervention to moderate their cannabis use. Intervention content that promotes the use of PBSs and exercise facilitates reductions in cannabis use. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Development and pilot testing of a counseling-plus-mHealth intervention to reduce risk for pregnancy and sexually transmitted infection in young women with depression

BACKGROUND

Depressed young women have elevated rates of unintended pregnancy and sexually transmitted infections (STIs). The objective of this study was to develop and pilot-test a counseling-plus-mHealth intervention to reduce sexual and reproductive health (SRH) risk in young women with depressive symptoms.

METHODS

Using the Behavior-Determinants-Intervention logic model, we developed the Momentary Affect Regulation-Safer Sex Intervention (MARSSI) to address the challenges that depression imposes on SRH risk reduction efforts of high-risk young women: (I) in-person counseling using motivational interviewing (MI) to elicit motivation for safer sex and develop a behavior change plan, and teaching cognitive-behavioral skills to manage negative thoughts and affective states; (II) 4-week Ecological Momentary Intervention (EMI) on a smartphone to report momentary phenomena related to depression and SRH risk, and receive personalized, tailored messages prompting healthy behaviors and encouraging cognitive-behavioral skill use when risk-related cognitions and negative affect are reported; and (III) booster counseling to review behavior change goals and plans and teach a new cognitive-behavioral skill. We developed the counseling through iterative interviews with 11 participants and developed the EMI through a 2-week trial with three participants, then revised MARSSI to reflect participant feedback. We next conducted a pilot-test among depressed, high-risk female adolescent clinic patients age 15-24. Pilot participants completed mental health, motivation to change behavior, and SRH behavior assessments and provided feedback at baseline, post-EMI, and at 3-month follow-up. We analyzed participant retention, counseling duration, app engagement, intervention quality ratings, and participant feedback, and compared mental health and SRH risk behavior across the study.

RESULTS

Seventeen participants completed the initial counseling session, 15 participated in the EMI, 14 returned for the booster session, and 14 completed the 3-month follow-up. App engagement was high for all 4 EMI weeks (≥1 report/day for median ≥6 days/week). Post-intervention, most or all participants agreed with each positive statement about the messages, reported "Excellent" MARSSI usefulness, and attributed improvements to MARSSI. Compared to baseline, post-EMI depressive symptoms, confidence to change self-selected risk behavior, and confidence to use the cognitive restructuring skill improved. At 3 months, depressive symptom scores remained lower and confidence to use cognitive restructuring remained higher, compared to baseline. Participants also reported lower frequency of sex, lower proportion of condom-unprotected sex events, and, among those using effective contraception, more consistent condom use at 3-month follow-up vs. baseline.

CONCLUSIONS

MARSSI was feasible, acceptable, and engaging to young women with depression and SRH risk behavior, and was associated with increased confidence to reduce SRH risk, decreased SRH risk behaviors, increased confidence to use cognitive restructuring, and decreased depressive symptoms over 3 months. Future research is warranted to evaluate MARSSI's efficacy to improve motivation, skills, affect, and behaviors, as well as reproductive health outcomes in high-risk depressed young women.

Ambulatory Assessment of Adolescent Coping: It's a Complicated Process

Scholars have long-called for researchers to treat coping as a process that is measured over an arc of time. Ambulatory assessment (AA) offers an appealing tool for capturing the dynamic process of adolescent coping. However, challenges in capturing the coping process are not altogether circumvented with AA designs. We conducted a scoping review of the AA literature on adolescent coping and draw from 60 studies to provide an overview of the field. We provide critiques of different AA approaches and highlight benefits and costs associated with various types of measurement within AA. We also speak to considerations of participant burden and compliance. We conclude with recommendations for developmental scholars seeking to deploy AA to capture this quintessential process among adolescents.

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review

BACKGROUND

Addiction is one of the most rapidly growing epidemics that currently plagues nations around the world. In the United States, it has cost the government more than US $700 billion a year in terms of health care and other associated costs and is also associated with serious social, physical, and mental consequences. Increasing efforts have been made to tackle this issue at different levels, from primary prevention to rehabilitation across the globe. With the use of digital technology rapidly increasing, an effort to leverage the consumer health information technologies (CHITs) to combat the rising substance abuse epidemic has been underway. CHITs are identified as patient-focused technological platforms aimed to improve patient engagement in health care and aid them in navigating the complex health care system.

OBJECTIVE

This review aimed to provide a holistic and overarching view of the breadth of research on primary prevention of substance abuse using CHIT conducted over nearly past five decades. It also aimed to map out the changing landscape of CHIT over this period.

METHODS

We conducted a scoping review using the Arksey and O'Malley's modified methodological framework. We searched 4 electronic databases (PubMed, Cochrane, Scopus, and EMBASE). Papers were included if the studies addressed the use of CHIT for primary prevention of substance abuse and were published in English between 1809 and 2018. Studies that did not focus solely on primary prevention or assessed additional comorbid conditions were eliminated.

RESULTS

Forty-two papers that met our inclusion criteria were included in the review. These studies were published between 1970 and 2018 and were not restricted by geography, age, race, or sex. The review mapped studies using the most commonly used CHIT platforms for substance abuse prevention from mass media in the 1970s to mobile and social media in 2018. Moreover, 191 studies that were exclusively focused on alcohol prevention were excluded and will be addressed in a separate paper. The studies included had diverse research designs although the majority were randomized controlled trials (RCT) or review papers. Many of the RCTs used interventions based on different behavioral theories such as family interactions, social cognitive theories, and harm-minimization framework.

CONCLUSIONS

This review found CHIT platforms to be efficacious and cost-effective in the real-world settings. We also observed a gradual shift in the types and use of CHIT platforms over the past few decades and mapped out their progression. In addition, the review detected a shift in consumer preferences and behaviors from face-to-face interactions to technology-based platforms. However, the studies included in this review only focused on the aspect of primary prevention. Future reviews could assess the effectiveness of platforms for secondary prevention and for prevention of substance abuse among comorbid populations.

Tobacco Use among Adult Muslims in the United States

BACKGROUND

Compared with the general United States (US) population, Muslims in the US exhibit elevated rates of tobacco use. As a result, they might be at a higher risk for preventive disease and premature death as compared with the general US population.

OBJECTIVE

This study investigated the Social Cognitive Theory (SCT) factors that are associated with tobacco use among a sample of adult Muslims in the US.

METHODS

Data were collected (November 2016-March 2017) using a cross-sectional, on-line survey from a convenience sample of adult (≥ 18 years) US Muslims. Participants with a lung cancer history were excluded. Associations between SCT factors and tobacco use were investigated with bivariate analyses and multinomial logistic regression models.

RESULTS

Eligible participants (n = 271) from 30 states completed the survey; 52.8% reported current tobacco use. A higher rate of current tobacco use was reported by men (62.8%) as compared to women (41.3%), x²(1, N = 271) = 12.49, p < .001. In terms of cognitive factors, individuals who (1) expected more personal consequences for tobacco use on health, and (2) had more confidence regarding ability to abstain from tobacco use, were less likely to report current tobacco use. In terms of environmental factors, individuals whose family members did not use tobacco were less likely to report current tobacco use.

CONCLUSION

The study findings suggest that family-oriented interventions emphasizing self-efficacy and personal consequences to prevent tobacco use can potentially be effective in reducing tobacco use rates in the adult US Muslim population.

A Pilot Randomized Controlled Trial of a Technology-Based Substance Use Intervention for Youth Exiting Foster Care

Youth exiting foster care represent a unique, at-risk population in that they receive supportive health services while under the umbrella of the foster care system, but access to care can drop precipitously upon release from foster custody. Traditional means of substance use treatment may not meet the needs of this vulnerable population. Mobile interventions, however, have demonstrated high acceptability and efficacy across a range of mental and physical health issues. The specific advantages to mobile interventions dovetail well with the barriers faced by youth exiting foster care. This study describes the feasibility, acceptability, and initial efficacy of iHeLP, a computer- and mobile phone-based intervention based in Motivational Interviewing for reducing substance use among youth exiting foster care (n = 33). Participants were randomly assigned to either iHeLP or a contact control, each of which lasted six months. Feasibility was evaluated through eligibility and enrollment rates at baseline, and retention and intervention reach rates 3, 6, 9, and 12 months later. Acceptability was measured through a 5-item satisfaction measure and exit interviews. The two groups were then compared on a monthly measure of substance use. Study enrollment, retention, response rate, engagement, and satisfaction were all very good. Participants receiving iHeLP reported higher percent days abstinent than the control group, with effect sizes ranging from 0.32 to 0.62. Technology-based interventions such as iHeLP may be attractive to this population and support efforts towards reductions in substance use.

Momentary factors during marijuana use as predictors of lapse during attempted abstinence in young adults

INTRODUCTION

Young adults using marijuana heavily often try multiple times to quit on their own. We sought to identify momentary experiences during marijuana use that could aid in predicting lapse when young adults subsequently attempt abstinence.

METHODS

Young adults (N=34) age 18-25 using marijuana ≥5days/week and planning to quit completed a survey of sociodemographic characteristics, substance use, marijuana expectancies, use motives, perceived social support, and confidence to abstain. They completed ecological momentary assessment (EMA) smartphone reports several times/day for two weeks prior to, then during two weeks of attempted abstinence. Use period EMA reports assessed affect, craving, accessibility, situational permissibility, use, and motivation to abstain. Baseline survey and EMA data were examined in relation to subsequent lapse during attempted abstinence.

RESULTS

Nearly 3 in 4 participants (73.5%) reported lapsing during attempted abstinence from marijuana. On bivariate analyses, lower baseline dependence severity score, negative effect expectancies, perceived family support, and confidence to abstain were each associated with lapse. Of the use period EMA variables, greater percent of days with marijuana use, reports of easy accessibility, and reports of situational permissibility were each associated with lapse. Modeled together, negative effect expectancies, perceived family support, confidence to abstain, and situational permissibility during use were highly accurate in predicting lapse during attempted abstinence.

CONCLUSIONS

Momentary factors may add to conventionally-surveyed characteristics to enhance prediction of lapse during attempted abstinence among young adults with heavy marijuana use. Momentary assessment prior to a quit attempt may thus enable more effective personalized approaches to preventing lapse.

Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults

Background

Substance use is an alarming public health issue associated with significant morbidity and mortality. Adolescents and emerging adults are at particularly high risk because substance use typically initiates and peaks during this developmental period. Mobile health apps are a promising data collection and intervention delivery tool for substance-using youth as most teens and young adults own a mobile phone. However, engagement with data collection for most mobile health applications is low, and often, large fractions of users stop providing data after a week of use.

Objective

Substance Abuse Research Assistant (SARA) is a mobile application to increase or sustain engagement of substance data collection overtime. SARA provides a variety of engagement strategies to incentivize data collection: a virtual aquarium in the app grows with fish and aquatic resources; occasionally, funny or inspirational contents (eg, memes or text messages) are provided to generate positive emotions. We plan to assess the efficacy of SARA’s engagement strategies over time by conducting a micro-randomized trial, where the engagement strategies will be sequentially manipulated.

Methods

We aim to recruit participants (aged 14-24 years), who report any binge drinking or marijuana use in the past month. Participants are instructed to use SARA for 1 month. During this period, participants are asked to complete one survey and two active tasks every day between 6 pm and midnight. Through the survey, we assess participants’ daily mood, stress levels, loneliness, and hopefulness, while through the active tasks, we measure reaction time and spatial memory. To incentivize and support the data collection, a variety of engagement strategies are used. First, predata collection strategies include the following: (1) at 4 pm, a push notification may be issued with an inspirational message from a contemporary celebrity; or (2) at 6 pm, a push notification may be issued reminding about data collection and incentives. Second, postdata collection strategies include various rewards such as points which can be used to grow a virtual aquarium with fishes and other treasures and modest monetary rewards (up to US $12; US $1 for each 3-day streak); also, participants may receive funny or inspirational content as memes or gifs or visualizations of prior data. During the study, the participants will be randomized every day to receive different engagement strategies. In the primary analysis, we will assess whether issuing 4 pm push-notifications or memes or gifs, respectively, increases self-reporting on the current or the following day.

Results

The microrandomized trial started on August 21, 2017 and the trial ended on February 28, 2018. Seventy-three participants were recruited. Data analysis is currently underway.

Conclusions

To the best of our knowledge, SARA is the first mobile phone app that systematically manipulates engagement strategies in order to identify the best sequence of strategies that keep participants engaged in data collection. Once the optimal strategies to collect data are identified, future versions of SARA will use this data to provide just-in-time adaptive interventions to reduce substance use among youth.

Trial Registration

ClinicalTrials.gov NCT03255317; https://clinicaltrials.gov/show/NCT03255317 (Archived by WebCite at http://www.webcitation.org/70raGWV0e)

Registered Report Identifier

RR1-10.2196/9850

Impact of cannabis legalization on treatment and research priorities for cannabis use disorder

An increasing proportion of the world has legalized cannabis for medicinal or recreational use. The legalization trend appears to be continuing. These changes in the legislative landscape may have important health, treatment, and research implications. This review discusses public health outcomes that may be impacted by increases in cannabis availability and use. It additionally considers potential research and treatment priorities in the face of widespread cannabis legalization.

A pilot trial of text-delivered peer network counseling to treat young adults with cannabis use disorder

Approximately 1.8 million young adults aged 18 to 25 had a Cannabis Use Disorder (CUD) in the past year. Unfortunately, engaging young adults in treatment is very challenging. Creative approaches to treat cannabis disorders such as integrating mobile technology with evidence-based treatments are warranted. In light of these challenges, we developed a text message-delivered version of Peer Network Counseling (PNC-txt), which is a substance use intervention that focuses on peer relations. PNC-txt engages participants in 16 automated, personalized text interactions over 4weeks. We conducted a randomized controlled trial to test the efficacy of PNC-txt against a waitlist control group with 30 treatment seeking young adults (ages 18-25) who met DSM-5 criteria for CUD. Self-report and urine analyses were used to test outcomes at the three-month follow-up. The PNC-txt group significantly reduced their cannabis use related problems as well as cannabis cravings, compared to the control group. PNC-txt participants also had a significantly greater percentage with urines negative for cannabis metabolites compared to controls. Moderation analysis showed that CUD severity level moderated treatment, suggesting that PNC-txt is more effective for participants with medium and high levels of CUD severity. All effect sizes ranged from medium to large. Results from this pilot trial are promising and warrant further research on PNC-txt for addressing cannabis use disorder.

mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder

Purpose of review

The goal of this review is to highlight recent research in mHealth based approaches to the detection and treatment of substance use disorders in adolescents and young adults.

Recent findings

The main methods for mHealth based detection include mobile phone based self-report tools, GPS tracking, and wearable sensors. Wearables can be used to detect physiologic changes (e.g., heart rate, electrodermal activity) or biochemical contents of analytes (i.e. alcohol in sweat) with reasonable accuracy, but larger studies are needed. Detection methods have been combined with interventions based on mindfulness, education, incentives/goals and motivation. Few studies have focused specifically on the young adult population, although those that did indicate high rates of utilization and acceptance.

Summary

Research that explores the pairing of advanced detection methods such as wearables with real time intervention strategies is crucial to realizing the full potential of mHealth in this population.

Pilot randomized trial of MOMENT, a motivational counseling-plus-ecological momentary intervention to reduce marijuana use in youth

BACKGROUND

Ecological momentary interventions (EMIs) influence behavior in real time, in real life. We evaluated trial feasibility and preliminary efficacy of MOMENT, a counseling-plus-EMI to reduce frequent marijuana use in youth in primary care.

METHODS

Primary care patients age 15-24 years using marijuana at least 3 times/week were randomized to MOMENT [motivational enhancement therapy (MET)/smartphone-based momentary assessment/responsive motivational messaging] vs. No-messages (MET/momentary assessment) vs. MET-only. In MOMENT, two MET sessions were followed by 2 weeks of momentary assessment of marijuana use and factors related to use, with motivational messaging displayed after report of marijuana triggers, desire, use, and effort to avoid use. We evaluated study feasibility (recruitment, retention, and response rates; feedback survey responses) and explored intervention effects on marijuana desire and use at three months with linear mixed effects modeling.

RESULTS

Seventy youth [mean (M) =20.7 years, 60% female] were assigned to MOMENT (n=27), No-messages (n=15; assignment suspended to enrich other arms), or MET-only (n=28). Most attrition occurred during baseline, before MET. Of those completing MET session 1, 82% completed their assigned treatment and 79% provided 3-month data. Participants highly rated acceptability; comments reflected changing motivation and behavior. Across arms, participants reported significantly lower marijuana use, desire, and problems at follow-up vs. baseline. Momentary marijuana desire declined more in MOMENT vs. MET-only. Marijuana use following a targeted context or behavior was less likely in MOMENT and No-messages, vs. MET-only.

CONCLUSIONS

The MOMENT intervention is feasible to deliver, acceptable, and potentially efficacious in reducing marijuana desire and use among adolescent and young adults in primary care. A larger randomized trial to evaluate efficacy is warranted.

Daily associations between cannabis motives and consumption in emerging adults

BACKGROUND

Increasing rates of cannabis use among emerging adults is a growing public health problem. Intensive longitudinal data can provide information on proximal motives for cannabis use, which can inform interventions to reduce use among emerging adults.

METHOD

As part of a larger longitudinal study, patients aged 18-25 years (N=95) recruited from an urban Emergency Department completed daily text message assessments of risk behaviors for 28days, including daily cannabis quantity and motives. Using a mixed effects linear regression model, we examined the relationships between daily quantity of cannabis consumed and motives (i.e., enhancement, social, conformity, coping, and expansion).

RESULTS

Participants were, on average, 22.0 years old (SD=2.2); 48.4% were male, 45.3% were African American, and 56.8% received public assistance. Results from the multi-level analysis (clustering day within individual), controlling for gender, race, and receipt of public assistance, indicated daily use of cannabis use for enhancement (β=0.27), coping (β=0.15), and/or social motives (β=0.34) was significantly associated with higher quantities of daily cannabis use; whereas expansion and conformity motives were not.

CONCLUSIONS

Daily data show that emerging adults who use cannabis for enhancement, social, and coping motives reported using greater quantities of cannabis. Future research should examine more comprehensive cannabis motives (e.g., boredom, social anxiety, sleep) and test tailored interventions focusing on alternative cognitive/behavioral strategies to address cannabis motives.

Treatment of Cannabis Use Disorder: Current Science and Future Outlook

Cannabis is the most commonly used illicit substance in the United States. Rates of cannabis use and cannabis use disorder (CUD) have increased in the past decade, paralleling changes in the legal and political climate favoring legalization. Almost 20 million people 12 years or older report past-month cannabis use, and 8 million report daily or near-daily use. Concurrently, the perception that cannabis use poses a significant risk of negative consequences has decreased. Contrary to this perception, heavy cannabis use is associated with cognitive impairment, increased risk for psychotic disorders and other mental health problems, lower education attainment, and unemployment. Clinical trials of various treatments for CUD have likewise increased, focusing primarily on psychotherapy treatments, specifically motivational enhancement therapy, cognitive behavioral therapy, and contingency management. Their findings suggest that a combination of these three modalities produces the best abstinence outcomes, although abstinence rates remain modest and decline after treatment. More recently, pharmacotherapy trials have been conducted as adjunctive interventions to psychosocial treatment. N-acetylcysteine and gabapentin are two of the most promising medications, although no pharmacologic treatment has emerged as clearly efficacious. In this review, we provide a detailed summary of clinical trials that evaluated psychotherapy and pharmacotherapy for treating CUD and discuss emerging areas of clinical research and cannabis-specific barriers to treatment.

A Systematic Review of the mHealth Interventions to Prevent Alcohol and Substance Abuse

Substance abuse in young adults is a public health issue with costs to the individual and society. There is mounting evidence that the increased uses of mHealth approaches have promise as a way to facilitate reductions in substance use. This systematic review evaluated the recent body of research on mHealth-based interventions for substance use, with aims of (a) examining the functionality and effectiveness of these interventions, (b) evaluating the available research on the effectiveness of these interventions for substance use, and (c) evaluating the design, methodology, results, theoretical grounding, limitations, and implications of each study. We identified eligible studies by searching electronic databases using Boolean methods. The reviewed studies (N = 12) indicated that that a wide range of Internet-based, text messaging, and smartphone application interventions have been developed to address substance use. Interventions had an assortment of features; participants in each study highlighted the ease and convenience of the interventions; and the majority of studies provided support for the efficacy of mHealth in reducing substance use. Mobile technology is a promising tool for reducing substance use and warrants further development. Future practice including the use of mHealth interventions can be an integral part of reducing substance use.

"Just Take a Moment and Breathe and Think": Young Women with Depression Talk about the Development of an Ecological Momentary Intervention to Reduce Their Sexual Risk

STUDY OBJECTIVE

Depressed young women are at increased risk for adverse outcomes related to sexual behavior, including unintended pregnancy, HIV, and other sexually transmitted infections. Brief sexual risk reduction interventions have not targeted depressed young women's specific needs for affect management and impulse control. DESIGN, SETTING, PARTICIPANTS, INTERVENTIONS, AND MAIN OUTCOME MEASURES: We interviewed depressed young women ages 15-23 years engaging in sexual risk behavior about a proposed intervention approach. The approach was described as in-person counseling and cognitive-behavioral skills training, followed by an ecological momentary intervention (EMI) delivered via smartphone application for 4 weeks. The EMI would include reporting multiple times a day on affective states, self-efficacy for safer sex behavior, and sexual behavior, and receiving responsive messages to provide support and prompt use of cognitive-behavioral skills. Participants provided their perspectives on comfort, usability, burden, confidentiality, and potential efficacy of the EMI and recommended message content. Interviews were audio-recorded, transcribed, and analyzed using thematic analysis.

RESULTS

Thematic saturation was reached with 16 interviews. Participants expressed positive opinions about the EMI. They believed that reporting at random times would help them to recognize their feelings, receiving the messages would be reassuring, and overall the smartphone application would be experienced as therapeutic. They desired a high degree of personalization of the message quality, style, and voice, and provided a wide variety of message content.

CONCLUSION

Depressed young women believed that a flexible, personalized approach to mobile momentary intervention for addressing the link between their symptoms and behavior would be acceptable, supportive, and effective in reducing sexual risk.

A Systematic Review of Interventions to Enhance Healthy Lifestyle Behaviors in Adolescents Delivered via Mobile Phone Text Messaging

OBJECTIVE

To systematically review healthy lifestyle interventions targeted to adolescents and delivered using text messaging (TM).

DATA SOURCE

PubMed, Embase, CINAHL, PsycINFO, and Web of Science databases. Study Inclusion Criteria: Research articles published during 2011 to 2014; analyses focused on intervention targeting adolescents (10-19 years), with healthy lifestyle behaviors as main variables, delivered via mobile phone-based TM.

DATA EXTRACTION

The authors extracted data from 27 of 281 articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method.

DATA SYNTHESIS

Adolescent and setting characteristics, study design and rigor, intervention effectiveness, challenges, and risk of bias.

RESULTS

Across studies, 16 (59.3%) of 27 included non-Caucasians. The gender was split for 22 (81.5%) of 27 studies. Thirteen studies were randomized controlled trials. There was heterogeneity among targeted conditions, rigor of methods, and intervention effects. Interventions for monitoring/adherence (n = 8) reported more positive results than those for health behavior change (n = 19). Studies that only included message delivered via TM (n = 14) reported more positive effects than studies integrating multiple intervention components. Interventions delivered using TM presented minimal challenges, but selection and performance bias were observed across studies.

CONCLUSION

Interventions delivered using TM have the potential, under certain conditions, to improve healthy lifestyle behaviors in adolescents. However, the rigor of studies varies, and established theory and validated measures have been inconsistently incorporated.

Screening, Brief Intervention, and Referral to Treatment

Screening, Brief Intervention, and Referral to Treatment is a quick, effective technique with which to manage substance use in adolescents and young adults. Use of a validated measure for detecting substance use and abuse is significantly more effective than unvalidated tools or provider intuition. There are a variety of validated tools available to use in the adolescent/young adult population, and there are opportunities to increase the efficiency and scalability of screening by using computerized questionnaires. This area continues to evolve rapidly.

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.

Substance Use Screening, Brief Intervention, and Referral to Treatment

The enormous public health impact of adolescent substance use and its preventable morbidity and mortality highlight the need for the health care sector, including pediatricians and the medical home, to increase its capacity regarding adolescent substance use screening, brief intervention, and referral to treatment (SBIRT). The American Academy of Pediatrics first published a policy statement on SBIRT and adolescents in 2011 to introduce SBIRT concepts and terminology and to offer clinical guidance about available substance use screening tools and intervention procedures. This clinical report provides a simplified adolescent SBIRT clinical approach that, in combination with the accompanying updated policy statement, guides pediatricians in implementing substance use prevention, detection, assessment, and intervention practices across the varied clinical settings in which adolescents receive health care.

A Screening Tool for Assessing Alcohol Use Risk among Medically Vulnerable Youth

BACKGROUND

In an effort to reduce barriers to screening for alcohol use in pediatric primary care, the National Institute on Alcoholism and Alcohol Abuse (NIAAA) developed a two-question Youth Alcohol Screening Tool derived from population-based survey data. It is unknown whether this screening tool, designed for use with general populations, accurately identifies risk among youth with chronic medical conditions (YCMC). This growing population, which comprises nearly one in four youth in the US, faces a unique constellation of drinking-related risks.

METHOD

To validate the NIAAA Youth Alcohol Screening Tool in a population of YCMC, we performed a cross-sectional validation study with a sample of 388 youth ages 9-18 years presenting for routine subspecialty care at a large children's hospital for type 1 diabetes, persistent asthma, cystic fibrosis, inflammatory bowel disease, or juvenile idiopathic arthritis. Participants self-administered the NIAAA Youth Alcohol Screening Tool and the Diagnostic Interview Schedule for Children as a criterion standard measure of alcohol use disorders (AUD). Receiver operating curve analysis was used to determine cut points for identifying youth at moderate and highest risk for an AUD.

RESULTS

Nearly one third of participants (n = 118; 30.4%) reported alcohol use in the past year; 86.4% (106) of past year drinkers did not endorse any AUD criteria, 6.8% (n = 8) of drinkers endorsed a single criterion, and 6.8% of drinkers met criteria for an AUD. Using the NIAAA tool, optimal cut points found to identify youth at moderate and highest risk for an AUD were ≥ 6 and ≥12 drinking days in the past year, respectively.

CONCLUSIONS

The NIAAA Youth Alcohol Screening Tool is highly efficient for detecting alcohol use and discriminating disordered use among YCMC. This brief screen appears feasible for use in specialty care to ascertain alcohol-related risk that may impact adversely on health status and disease management.

Psychosocial interventions for cannabis use disorder

BACKGROUND

Cannabis use disorder is the most commonly reported illegal substance use disorder in the general population; although demand for assistance from health services is increasing internationally, only a minority of those with the disorder seek professional assistance. Treatment studies have been published, but pressure to establish public policy requires an updated systematic review of cannabis-specific treatments for adults.

OBJECTIVES

To evaluate the efficacy of psychosocial interventions for cannabis use disorder (compared with inactive control and/or alternative treatment) delivered to adults in an out-patient or community setting.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL; 2015, Issue 6), MEDLINE, EMBASE, PsycINFO, the Cumulaive Index to Nursing and Allied Health Literature (CINAHL) and reference lists of articles. Searched literature included all articles published before July 2015.

SELECTION CRITERIA

All randomised controlled studies examining a psychosocial intervention for cannabis use disorder (without pharmacological intervention) in comparison with a minimal or inactive treatment control or alternative combinations of psychosocial interventions.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures as expected by The Cochrane Collaboration.

MAIN RESULTS

We included 23 randomised controlled trials involving 4045 participants. A total of 15 studies took place in the United States, two in Australia, two in Germany and one each in Switzerland, Canada, Brazil and Ireland. Investigators delivered treatments over approximately seven sessions (range, one to 14) for approximately 12 weeks (range, one to 56).Overall, risk of bias across studies was moderate, that is, no trial was at high risk of selection bias, attrition bias or reporting bias. Further, trials included a large total number of participants, and each trial ensured the fidelity of treatments provided. In contrast, because of the nature of the interventions provided, participant blinding was not possible, and reports of researcher blinding often were unclear or were not provided. Half of the reviewed studies included collateral verification or urinalysis to confirm self report data, leading to concern about performance and detection bias. Finally, concerns of other bias were based on relatively consistent lack of assessment of non-cannabis substance use or use of additional treatments before or during the trial period.A subset of studies provided sufficient detail for comparison of effects of any intervention versus inactive control on primary outcomes of interest at early follow-up (median, four months). Results showed moderate-quality evidence that approximately seven out of 10 intervention participants completed treatment as intended (effect size (ES) 0.71, 95% confidence interval (CI) 0.63 to 0.78, 11 studies, 1424 participants), and that those receiving psychosocial intervention used cannabis on fewer days compared with those given inactive control (mean difference (MD) 5.67, 95% CI 3.08 to 8.26, six studies, 1144 participants). In addition, low-quality evidence revealed that those receiving intervention were more likely to report point-prevalence abstinence (risk ratio (RR) 2.55, 95% CI 1.34 to 4.83, six studies, 1166 participants) and reported fewer symptoms of dependence (standardised mean difference (SMD) 4.15, 95% CI 1.67 to 6.63, four studies, 889 participants) and cannabis-related problems compared with those given inactive control (SMD 3.34, 95% CI 1.26 to 5.42, six studies, 2202 participants). Finally, very low-quality evidence indicated that those receiving intervention reported using fewer joints per day compared with those given inactive control (SMD 3.55, 95% CI 2.51 to 4.59, eight studies, 1600 participants). Notably, subgroup analyses found that interventions of more than four sessions delivered over longer than one month (high intensity) produced consistently improved outcomes (particularly in terms of cannabis use frequency and severity of dependence) in the short term as compared with low-intensity interventions.The most consistent evidence supports the use of cognitive-behavioural therapy (CBT), motivational enhancement therapy (MET) and particularly their combination for assisting with reduction of cannabis use frequency at early follow-up (MET: MD 4.45, 95% CI 1.90 to 7.00, four studies, 612 participants; CBT: MD 10.94, 95% CI 7.44 to 14.44, one study, 134 participants; MET + CBT: MD 7.38, 95% CI 3.18 to 11.57, three studies, 398 participants) and severity of dependence (MET: SMD 4.07, 95% CI 1.97 to 6.17, two studies, 316 participants; MET + CBT: SMD 7.89, 95% CI 0.93 to 14.85, three studies, 573 participants), although no particular intervention was consistently effective at nine-month follow-up or later. In addition, data from five out of six studies supported the utility of adding voucher-based incentives for cannabis-negative urines to enhance treatment effect on cannabis use frequency. A single study found contrasting results throughout a 12-month follow-up period, as post-treatment outcomes related to overall reduction in cannabis use frequency favoured CBT alone without the addition of abstinence-based or treatment adherence-based contingency management. In contrast, evidence of drug counselling, social support, relapse prevention and mindfulness meditation was weak because identified studies were few, information on treatment outcomes insufficient and rates of treatment adherence low. In line with treatments for other substance use, abstinence rates were relatively low overall, with approximately one-quarter of participants abstinent at final follow-up. Finally, three studies found that intervention was comparable with treatment as usual among participants in psychiatric clinics and reported no between-group differences in any of the included outcomes.

AUTHORS' CONCLUSIONS

Included studies were heterogeneous in many aspects, and important questions regarding the most effective duration, intensity and type of intervention were raised and partially resolved. Generalisability of findings was unclear, most notably because of the limited number of localities and homogeneous samples of treatment seekers. The rate of abstinence was low and unstable although comparable with treatments for other substance use. Psychosocial intervention was shown, in comparison with minimal treatment controls, to reduce frequency of use and severity of dependence in a fairly durable manner, at least in the short term. Among the included intervention types, an intensive intervention provided over more than four sessions based on the combination of MET and CBT with abstinence-based incentives was most consistently supported for treatment of cannabis use disorder.

The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

Background

Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change.

Objective

Our aim was to systematically review the (1) impact of IT platforms used to promote patients’ engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes.

Methods

PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria.

Results

A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170).

Conclusions

In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.

Technology-delivered adaptations of motivational interviewing for health-related behaviors: A systematic review of the current research

OBJECTIVES

The aims of this paper were to describe and evaluate the methods and efficacy of technology-delivered motivational interviewing interventions (TAMIs), discuss the challenges and opportunities of TAMIs, and provide a framework for future research.

METHODS

We reviewed studies that reported using motivational interviewing (MI) based components delivered via technology and conducted ratings on technology description, comprehensiveness of MI, and study methods.

RESULTS

The majority of studies were fully-automated and included at least one form of media rich technology to deliver the TAMI. Few studies provided complete descriptions of how MI components were delivered via technology. Of the studies that isolated the TAMI effects, positive changes were reported.

CONCLUSION

Researchers have used a range of technologies to deliver TAMIs suggesting feasibility of these methods. However, there are limited data regarding their efficacy, and strategies to deliver relational components remain a challenge. Future research should better characterize the components of TAMIs, empirically test the efficacy of TAMIs with randomized controlled trials, and incorporate fidelity measures.

PRACTICE IMPLICATIONS

TAMIs are feasible to implement and well accepted. These approaches offer considerable potential to reduce costs, minimize therapist and training burden, and expand the range of clients that may benefit from adaptations of MI.

Decision-making style, nicotine and caffeine use and dependence

RATIONALE

As therapeutic interventions are being developed utilising telehealth and mobile phones, it is important to understand how substance-dependent individuals will respond to offers of online assistance.

OBJECTIVES

The present paper considered the following: (1) how decision-making style is associated with use and dependence upon commonly used stimulants and (2) how it influences behavioural responses to electronic offers of further information about these drugs.

METHOD

An online survey examined patterns of nicotine and caffeine use, administered Severity of Dependence Scales for caffeine and nicotine and assessed decision-making style using the Melbourne Decision Making Questionnaire and mood using the Kessler Distress Scale. Upon completing these scales, the 181 participants with a mean age of 28.14 years were offered further information online.

RESULTS

Stimulant dependence was associated with psychological distress. Caffeine dependence was linked to hypervigilance (panic). Decisional self-esteem varied with stimulant dependence and Kessler Distress Scale score. Participants with high decisional self-esteem declined electronic offers of further information.

CONCLUSION

Confidence rather than defensive avoidance was a factor in reducing information-seeking behaviours on the Internet.

Review of smartphone applications for the treatment of eating disorders

mHealth tools may be a feasible modality for delivering evidence-based treatments and principles (EBPs), and may enhance treatment for eating disorders (EDs). However, research on the efficacy of mHealth tools for EDs and the extent to which they include EBPs is lacking. The current study sought to (i) review existing apps for EDs, (ii) determine the extent to which available treatment apps utilize EBPs, and (iii) assess the degree to which existing smartphone apps utilize recent advances in smartphone technology. Overall, existing ED intervention apps contained minimal EBPs and failed to incorporate smartphone capabilities. For smartphone apps to be a feasible and effective ED treatment modality, it may be useful for creators to begin taking utilizing the abilities that set smartphones apart from in-person treatment while incorporating EBPs. Before mHealth tools are incorporated into treatments for EDs, it is necessary that the feasibility, acceptability, and efficacy be evaluated.

Treatment of Adolescent Substance Use Disorders

Significant progress has been made in development and dissemination of evidence-based behavioral interventions for adolescents with substance use disorders (SUD). Medications have also shown promise in reducing substance use when used in conjunction with psychosocial treatment for adolescents with SUD, even in the context of co-occurring psychopathology. Although the efficacy or "probable efficacy" of the behavioral interventions discussed in this review have been established based on at least two randomized controlled trials, they produce relatively low abstinence rates and modest reductions in substance use that attenuate over time. Research has shown that abstinence rates may increase with the addition of abstinence-based incentives, however, post-treatment relapse rates remain high with few treated adolescents sustaining abstinence one year post-treatment. This may be due to the paucity of continuing care or post-treatment recovery support services and the lack of integrated or concurrent treatment for co-occurring psychiatric conditions that contribute to poorer treatment outcomes. Thus, despite significant progress, there is clearly room for improvement of existing treatment for adolescents with SUD. There is also critical need to increase the availability and access to substance and behavioral health treatment services for adolescents. Although 10-15% of U.S. high school students would currently meet diagnostic criteria for at least one SUD, only 10% of those who could benefit from substance treatment receive it. Five-year trends showing significant increases in the use of marijuana and nonmedical prescription drugs among U. S. high school students are evidence of the shortcomings of existing school-based interventions and poor access to community-based substance treatment for non-juvenile-justice involved youth. There is clearly a need to adapt or develop more effective prevention, early interventions, and treatment for youth who are "at risk" as well as the increasing number of adolescents who have progressed to more serious substance involvement.