Examining the Popularity, Content, and Intersections With the Substance Abuse and Mental Health Services Administration's Definition of Recovery in a Nonclinical Online Cannabis Cessation Community: Infodemiology Study of Reddit Posts.

BACKGROUND: Cannabis consumption has increased in recent years, as has cannabis use disorder. While researchers have explored public online community discussions of active cannabis use, less is known about the popularity and content of publicly available online communities intended to support cannabis cessation. OBJECTIVE: This study aims to examine the level of engagement and dominant content of an online community for cannabis cessation through 3 specific aims. First, we examine the use of a subreddit cannabis cessation community (r/leaves) over time to evaluate the popularity of this type of resource for individuals who want to stop using cannabis. Second, we examine the content of posts in the community to identify popular topics related to cessation. Third, we compare the thematic findings relative to the 4 domains of recovery defined by the Substance Abuse and Mental Health Services Administration (SAMHSA). By examining these 3 gaps, we take the initial steps toward understanding the experiences being shared online among individuals interested in cannabis cessation and compare them with the principles outlined in the SAMHSA definition of recovery. METHODS: Using the Pushshift application programming interface, we collected the count of posts by year between 2011 and 2021 and the narrative of the 100 posts with the most comments per year in a popular cannabis cessation-focused subreddit (r/leaves). A linear model and a nonlinear model were compared to evaluate change in the number of posts by year. Mixed natural language processing and qualitative analyses were applied to identify top terms, phrases, and themes present in posts over time. Overlap between themes and the 4 SAMHSA domains of recovery (health, purpose, community, and home) were examined. RESULTS: The number of annual posts in r/leaves increased from 420 in 2011 to 34,841 in 2021 (83-fold increase), with exponential growth since 2018. The term that was the most common across posts was "smoke" (2019 posts). Five major themes were identified, and a narrative arc was represented, from motivations and perceived benefits of cannabis use to the negative consequences of use, strategies to change behaviors, and the positive and negative consequences of change. There was substantial overlap between these 5 themes and 3 of SAMHSA's 4 domains of recovery: health, purpose, and community. However, the domain of home was less commonly identified. CONCLUSIONS: Engagement in this online cannabis support community appears to be increasing. Individuals using this forum discussed several topics, including multiple aspects of recovery defined by the SAMHSA. Online communities, such as this one may, serve as an important pathway for individuals seeking to reduce or cease their consumption of cannabis.

A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol.

BACKGROUND: Emerging adult (EA) cannabis use is associated with increased risk for health consequences. Just-in-time adaptive interventions (JITAIs) provide potential for preventing the escalation and consequences of cannabis use. Powered by mobile devices, JITAIs use decision rules that take the person's state and context as input, and output a recommended intervention (e.g., alternative activities, coping strategies). The mHealth literature on JITAIs is nascent, with additional research needed to identify what intervention content to deliver when and to whom. METHODS: Herein we describe the protocol for a pilot study testing the feasibility and acceptability of a micro-randomized trial for optimizing MiWaves mobile intervention app for EAs (ages 18-25; target N = 120) with regular cannabis use (≥3 times per week). Micro-randomizations will be determined by a reinforcement learning algorithm that continually learns and improves the decision rules as participants experience the intervention. MiWaves will prompt participants to complete an in-app twice-daily survey over 30 days and participants will be micro-randomized twice daily to either: no message or a message [1 of 6 types varying in length (short, long) and interaction type (acknowledge message, acknowledge message + click additional resources, acknowledge message + fill in the blank/select an option)]. Participants recruited via social media will download the MiWaves app, and complete screening, baseline, weekly, post-intervention, and 2-month follow-up assessments. Primary outcomes include feasibility and acceptability, with additional exploratory behavioral outcomes. CONCLUSION: This study represents a critical first step in developing an effective mHealth intervention for reducing cannabis use and associated harms in EAs.

Latent transition analysis of time-varying cannabis use motives to inform adaptive interventions.

OBJECTIVE: The rising prevalence of daily cannabis use among older adolescents and young adults in the United States has significant public health implications. As a result, more individuals may be seeking or in need of treatment for adverse outcomes (e.g., cannabis use disorder) arising from excessive cannabis use. Our objective was to explore the potential of self-reported motives for cannabis use as a foundation for developing adaptive interventions tailored to reduce cannabis consumption over time or in certain circumstances. We aimed to understand how transitions in these motives, which can be collected with varying frequencies (yearly, monthly, daily), predict the frequency and adverse outcomes of cannabis use. METHOD: We conducted secondary analyses on data collected at different frequencies from four studies: the Medical Cannabis Certification Cohort Study (n = 801, biannually), the Cannabis, Health, and Young Adults Project (n = 359, annually), the Monitoring the Future Panel Study (n = 7,851, biennially), and the Text Messaging Study (n = 87, daily). These studies collected time-varying motives for cannabis use and distal measures of cannabis use from adolescents, young adults, and adults. We applied latent transition analysis with random intercepts to analyze the data. RESULTS: We identified the types of transitions in latent motive classes that are predictive of adverse outcomes in the future, specifically transitions into or staying in classes characterized by multiple motives. CONCLUSIONS: The identification of such transitions has direct implications for the development of adaptive interventions designed to prevent adverse health outcomes related to cannabis use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Testing a new model of telehealth-delivered treatment for primary care patients with alcohol use disorder: A randomized controlled trial protocol.

BACKGROUND: The majority of adults suffering from alcohol use disorders (AUD) do not receive treatment. To address this gap in care, we must develop new models to increase identification, engagement and delivery of accessible and effective treatment. This paper describes the protocol for a randomized controlled trial (RCT) testing a novel telehealth treatment model for primary care patients with untreated AUD. METHODS: We aim to recruit 300 adults across 2 healthcare systems for this two-arm RCT. Participants, initially identified for recruitment based on AUD-related indicators in their electronic health record (EHR), are RCT-eligible if they meet AUD criteria (mild, moderate, severe), report ≥ 3 drinking days/week in past 30 days, and have not received AUD psychotherapy in the past 90 days. Participants are randomized to an intervention or enhanced usual care control (EUC) condition, both individually-delivered. The intervention includes a telephone-delivered motivational interviewing (MI) engagement session and 8 sessions of MI-Cognitive Behavioral Therapy (MI-CBT). EUC involves AUD psychoeducation, advice to reduce drinking and seek treatment, and provision of community resources. Outcomes will be measured at 3-, 6-, and 12-months; primary outcomes include: AUD psychotherapy initiation and engagement (within the study and external community) and alcohol consumption (percent drinking days and heavy drinking days). CONCLUSIONS: This study addresses whether proactive patient identification and engagement and delivery of patient-centered telehealth psychotherapy to patients with untreated AUD is effective in increasing treatment use and improving alcohol outcomes. If effective, this could be a highly scalable model for reducing the public health impact of AUD. TRIAL REGISTRATION: ClinicalTrials.gov # NCT05410561. University of Michigan HUM00204315. Ann Arbor VA IRB #1655886.

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

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

A social media intervention for high-intensity drinking among emerging adults: a pilot randomized controlled trial.

AIMS: High-intensity drinking (HID) is a pattern of risky drinking defined as at least 8 drinks (for women) or 10 drinks (for men) in a single episode. Individuals engaged in HID may be at greater risk for consequences, necessitating tailored interventions. Herein, we report the feasibility and acceptability of a social media-delivered 8-week intervention for emerging adults with recent HID. METHODS: Using social media advertising, we recruited 102 emerging adults who reported past-month HID. Average age was 20.0 year-olds (SD = 2.0); 51.0% were male. Most identified as White (64.7%; 14.7% Black/African American, 13.7% multiracial) and 26.5% identified as Hispanic/Latinx. Participants were randomized to an 8-week intervention delivered via Snapchat by health coaches (N = 50) or to a control condition (psychoeducational website referral; N = 52). Follow-ups occurred at 2 and 4 months post-baseline. RESULTS: The intervention was acceptable (85.1% liked it/liked it a lot) and there were high follow-up rates. Participants rated coaches as supportive (91.5%) and respectful (93.6%). Descriptively, helpfulness ratings were higher for non-alcohol-related content (e.g. stress; 59.6% very/extremely helpful) than alcohol-related content (40.4% very/extremely helpful). Regarding engagement, 86.0% engaged approximately weekly and 59.6% indicated they saved intervention snaps. Descriptive data showed reductions over time in several measures of alcohol consumption and consequences as well as cannabis-impaired driving and mental health symptoms. CONCLUSIONS: This 8-week social media intervention for HID was feasible and acceptable among emerging adults, supporting the benefit of future testing in a fully powered trial.

Direct and Indirect Effects of Cannabis Risk Perceptions on Cannabis Use Frequency.

Background: Perceived risk of harm associated with cannabis use has decreased in recent decades, particularly among emerging adults who show the highest prevalence of use. Cannabis-related protective behavioral strategies (PBS) are associated with lower cannabis use and fewer consequences; however, individuals who perceive using cannabis as low risk may use cannabis PBS less often. Therefore, using cross-sectional data, we examined the associations between perceived risk of harm associated with cannabis use, cannabis PBS, and cannabis use frequency. Method: Participants were 146 emerging adults between the ages of 18-25 (56.2% female) who reported consuming cannabis at least 3 times/week and completed measures of past-month cannabis use, past three-month use of cannabis PBS, and perceived risk of harm associated with cannabis use. Path analyses examined direct and indirect effects of perceived risk of cannabis-related harm on cannabis frequency through cannabis PBS. Results: Most (66.4%) participants reported no perceived risk of harm associated with occasional cannabis use, whereas 30.1% reported no perceived risk of harm associated with regular cannabis use. Findings indicated a significant indirect effect between perceived risk of harm and cannabis use frequency through cannabis PBS, b = -10.23, SE = 3.80, 95% CI [-17.67, -2.80], p = .007. Conclusions: Among emerging adults who consume cannabis regularly, findings suggest that a greater perceived risk of cannabis-related harm is associated with decreased cannabis use frequency via increased use of cannabis PBS. Although future analyses evaluating causal mechanisms are needed, these findings have clinical implications for harm reduction interventions focused on cannabis use.

Measuring Electronically Shared Rape Myths: Scale Creation and Correlates.

Increased access to information online (e.g., social media) provides opportunities for exposure to rape myths (i.e., false beliefs about incidents of sexual assault). Social media, in particular, may serve a critical role in shaping rape culture. Thus, it is important to identify ways to assess online exposure to rape myths, especially given the influence online exposure may have on offline behaviors. Data were analyzed from 2,609 18-25-year-old participants (mean age = 20.9 years; 46.1% male; 71.6% White) recruited in 2017 through social media to complete an online survey on experiences and perceptions of sexual violence. We used exploratory and confirmatory factor analyses (EFA, CFA) to evaluate the relatedness of nine items adapted to reflect rape myths posted by friends on social media. We split the sample into training (50%) and testing (50%) sets for the EFA and CFA, respectively, then evaluated the correlation between experiences of sexual violence, substance use, and social media use and exposure to online rape myths. Eigenvalues (1-factor: 5.509; 2-factor: 0.803; 3-factor: 0.704; 4-factor: 0.482), factor loadings, fit statistics (RMSEA: 0.03; CFI: 0.99; TLI: 0.99; SRMR: 0.057), interpretability, and existing theory supported a 1-factor solution, which was supported by CFA fit statistics (RMSEA: 0.021; CFI: 0.99; TLI: 0.99; SRMR: 0.038). Cronbach's alpha of the nine items was .77. Greater exposure to online rape myths was associated with greater likelihood of attempted rape perpetration (ß = .052, SE = .016, p < .005), rape victimization (ß = .045, SE = .009, p < .005), use of illicit drugs (ß = .021, SE = 0.008, p < .05), being male (ß = .017, SE = .008, p < .05), and being younger (ß = -.008, SE = .002, p < .005). Our findings support assessing exposure to online rape myths, which may be important for informing sexual violence prevention and intervention efforts.

Toward the conceptualization and measurement of transphobia-driven intimate partner violence.

Transgender and gender expansive (trans) people face high rates of violence, including unique forms of abuse from intimate partners that specifically leverage transphobia. Past qualitative studies have explored trans-specific intimate partner violence (IPV) and transgender IPV; we propose a new term, transphobia-driven IPV, investigated in this paper. The goals of this study were two-fold: (1) to qualitatively identify the subdomains and boundaries of transphobia-driven IPV with the explicit intention of new scale development; and (2) to examine the degree to which existing trans-focused IPV measurement scales adequately assess the construct. We recruited US-based, English-speaking trans survivors of IPV, aged 18 years and older, online through community-based organizations and Facebook/Instagram advertising. Twenty people participated in the study, of which 60 percent were white, 55 percent were assigned female at birth, and 60 percent were nonbinary. Through thematic analysis of the 20 in-depth interviews, we identified four subdomains of transphobia-driven IPV: pressure to perform, disrupting gender affirmation, belittling gender identity, and intentional misgendering. When examining nine existing screening tools and measures that ask about IPV related to the survivor's trans identity, only one measure included questions related to all four subdomains. Further, the existing measures were either not psychometrically validated, only validated with a subpopulation of the trans community, or validated with a larger LGBTQ sample of which trans survivors comprised a small percentage. This study lays a foundation for new valid measures of transphobia-driven IPV that reflect the various ways in which transphobia can be leveraged by abusers and may be relevant across subpopulations of the trans community.

Incremental Predictive Validity of the Dualistic Model of Passion for Cannabis Use Among College Undergraduate Students With and Without a Cannabis Use Disorder.

Introduction: We examined whether the Dualistic Model of Passion (DMP; i.e., obsessive passion [OP] and harmonious passion [HP]) for cannabis use was prospectively associated with cannabis use and use-related outcomes, and with academic performance, relationship attachment style, and social connectedness among college students. We also explored whether the DMP was associated with outcomes when included in a model using established constructs (e.g., coping motives, refusal self-efficacy, cannabis use disorder [CUD] symptoms) as predictors of cannabis use and outcomes. Methods: Using a longitudinal cohort design (baseline, 5-month, 10-month [timepoints chosen to better correspond to 9-month academic year]), 513 undergraduate students from two universities who reported using cannabis at least four times in the past month completed a baseline survey (308 meeting criteria for CUD). We used Generalized Estimating Equations to assess longitudinal associations between OP/HP and cannabis use and academic/social outcomes at 5-month and 10-month. Results: At baseline, participants were young adults (Mean age = 20.57, SD = 2.51), 78.8% non-Hispanic, 83.8% White, 55.0% female, and 72.3% heterosexual. Greater HP was not associated with greater past month cannabis use or cannabis-related problems. Greater OP was associated with greater past month cannabis use and more cannabis-related problems. There were no significant passion by time interactions. Greater HP was associated with more anxious attachment. OP was associated with less social connection. Conclusion: This research suggests that the DMP provides novel information about factors associated with cannabis use and use-related consequences, which can aid in our understanding of cannabis use, misuse, and CUD among college students.

Telehealth-delivered Psychotherapy for the Treatment of Alcohol Use Disorder: Patient Perspectives in the Age of COVID-19.

OBJECTIVES: The COVID-19 pandemic precipitated increases in alcohol use and ushered in virtually delivered health care, creating an opportunity to examine the impacts of telehealth on alcohol use disorder (AUD) treatment. To understand these impacts, we explored perspectives on telehealth-delivered psychotherapy among individuals with AUD. METHODS: This was a qualitative study using semi-structured interviews. Participants (N = 31) were patients with AUD who had received telehealth-delivered AUD psychotherapy in the last 2 years (n = 11) or had never experienced AUD psychotherapy (n = 20), recruited from two large academically-affiliated health care systems in Michigan between July and August 2020. Participants were asked about perceived barriers and facilitators to AUD psychotherapy, benefits and drawbacks of telehealth-delivered AUD psychotherapy, and changes needed to improve psychotherapy delivery. Interviews were transcribed, coded, and analyzed iteratively using thematic analysis. RESULTS: Participants identified factors relating to perceptions of and experience with telehealth-delivered AUD psychotherapy. Findings reflected four major themes: treatment accessibility, treatment flexibility, treatment engagement, and stigma. Perceptions about telehealth's impact on treatment accessibility varied widely and included benefits (e.g., eliminating transportation challenges) and barriers (e.g., technology costs). Treatment flexibility and treatment engagement factors included the ability to use phone and video and perceptions of receiving care via telehealth, respectively. Telehealth impacts on treatment stigma were also a key theme. CONCLUSIONS: Overall, perceptions of telehealth treatment for AUD varied. Participants expressed the importance of options, flexibility, and collaborating on decisions with providers to determine treatment modality. Future research should explore who benefits most from telehealth and avenues to enhance implementation.

Including Community Partners in the Development and Adaptation of Intervention Strategies to Prevent Initiation or Escalation of Opioid Misuse.

Current literature lacks clear examples of how to engage with communities in the development of opioid misuse interventions for diverse populations and across various settings. The National Institutes of Health (NIH) Helping to End Addiction Long-term® Initiative (HEAL) Prevention Cooperative (HPC) research projects work collaboratively with communities to develop and adapt their opioid misuse interventions to increase both feasibility and sustainability. Ten HPC projects were selected to receive NIH funding and are required to have partnerships with communities where their intervention is being conducted. This paper applies the Centers for Disease Control and Prevention (CDC)-adapted Public Participation Framework to examine the levels of community engagement used by each of these 10 HPC projects (Clinical and Translational Science Awards Consortium Community Engagement Key Function Committee Task Force on the Principles of Community Engagement, 2015). Using this framework, this paper illustrates the range of community engagement approaches and levels that the HPC projects rely on to develop, adapt, and adopt opioid prevention interventions across diverse populations and settings. This paper also lays a foundation for future examinations of the role of community engagement in intervention implementation and effectiveness and the level of community engagement that is necessary to improve intervention effectiveness.

The daily association between affect and alcohol use: A meta-analysis of individual participant data.

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.

A remote brief intervention plus social media messaging for cannabis use among emerging adults: A pilot randomized controlled trial in emergency department patients.

INTRODUCTION: Interventions addressing cannabis use among emerging adults (ages 18-25) are currently needed to prevent negative outcomes. Emergency Department (ED) visits provide an opportunity to initiate interventions. In this pilot study, we created a brief intervention (BI), extended with private social media messaging for emerging adult ED patients who use cannabis regularly. Study aims were to examine intervention feasibility, acceptability, and descriptive outcomes. METHODS: We recruited and randomized N = 58 emerging adults (M age 21.5 years, 65.5% female) who used cannabis from an ED in-person and remotely after their ED visit (given COVID-19 restrictions). Participants randomized to the intervention (N = 30) received a Motivational Interviewing-based BI and 4 weeks of health coaching via private social media; control participants received a resource brochure and entertaining social media messaging. Follow-ups occurred at 1-month and 3-months. RESULTS: Most intervention participants liked the BI (95.8%), found it helpful to discuss cannabis use in the BI (91.7%), and liked interacting with coaches on social media (86.3%). Social media content (e.g., video clips, images/still pictures/memes) were highly rated. Descriptively, the intervention group showed theory-consistent changes in importance of and intentions to change cannabis (increases vs. decrease/stability in control group), whereas findings for cannabis consumption/consequences were mixed. CONCLUSIONS: This BI paired with social media messaging was acceptable in a sample of emerging adults from an ED who used cannabis regularly. Despite feasibility challenges due to COVID-19, this intervention warrants future investigation with a larger sample and longer follow-up period, with attention to the changing cannabis landscape when measuring outcomes.

Perceived risk of harm for different methods of cannabis consumption: A brief report.

BACKGROUND: Emerging adults' (EAs; ages 18-25) perceived risk of cannabis-related harms has decreased in recent decades, potentially contributing to their high prevalence of cannabis consumption. With the changing cannabis policy and product landscape, it is critical to understand perceived risk related to different consumption methods (e.g., smoking, dabbing). We examined differences in cannabis risk perceptions by method and consumption patterns. METHODS: EAs recruited from an emergency department (N=359, 71.3% female, 53.5% Black) completed assessments on individual characteristics, cannabis/other substance use, and perceived risk of cannabis-related harm for four different methods (smoking, vaping, dabbing, ingestion) and two use frequencies (occasional, regular). Analyses examined associations between variables of interest and three mutually exclusive groups: no cannabis use, smoking-only, and multiple/other methods. RESULTS: Forty-two percent of EAs reported no past 3-month cannabis use, 22.8% reported smoking only, and 35.1% reported consumption via multiple/other methods. Among all participants, the methods and frequency with the largest number of EAs endorsing any perceived risk from cannabis were dabbing and vaping cannabis regularly; smoking occasionally had the smallest number of EAs endorsing perceived risk. A greater proportion of EAs in the no use group viewed vaping cannabis regularly as having the most risk (63.6%), whereas the largest proportion of EAs in the smoking-only (64.6%) and multiple/other methods (47.2%) groups perceived dabbing regularly as having the most risk. CONCLUSIONS: This work shows that EAs vary in perceptions of risk across methods of cannabis use and can inform potential directions for public health and policy efforts.

Multidisciplinary Strategies for Preventing Opioid Misuse and Escalation by Targeting Mental Health Symptoms and Conditions.

We aim to review the association between childhood-onset mental health conditions and increased risk for early substance use including opioid misuse and opioid use disorders (OUD). The association between mental health conditions and opioid misuse suggests youth with mental health conditions may benefit from opioid prevention efforts that concurrently address mental health. To aid in the identification of youth with mental health conditions who could benefit from interventions, we will review opportunities and challenges associated with screening for mental health symptoms or substance use in settings where youth at high risk for mental health conditions present. We will also review how research projects within the National Institutes of Health's Helping to End Addiction Long-term (HEAL) Prevention Cooperative are addressing mental health within opioid misuse and OUD prevention interventions for youth.

Development and Pilot Testing of an Experimental Cannabis Marketplace: Toward Evaluating the Impact of Cannabis Policy on Consumer Choices.

Introduction: The legal landscape of recreational cannabis production and consumption is rapidly expanding, driving a need to inform empirically supported cannabis regulatory policy. A behavioral economic framework integrating economic constructs (e.g., price, substitutability) with psychology and decision-making sciences, has previously been applied to tobacco regulatory sciences through the use of experimental marketplaces. However, experimental marketplaces have not yet been applied to understand cannabis choice behaviors or study ways to minimize risks from use. Herein, we describe the development and initial feasibility testing of an Experimental Cannabis Marketplace (ECM). The ECM can serve as an experimental platform relevant to evaluating the impact of regulatory policies on cannabis choices and use behavior. Methods: The ECM was designed to resemble an online cannabis dispensary. Adults aged 21 and older with past month cannabis use and past month purchase from a recreational dispensary were recruited online. To test the feasibility and acceptability of the ECM, 62 people completed the ECM shopping task and provided feedback on the ECM prototype. Participants also reported about their typical purchases from real-world dispensaries. Results: Nearly all participants rated the ECM as very (80.65%) or somewhat (16.13%) easy to navigate, and rated task instructions as at least mostly clear (100%). The majority (75.81%) said cannabis products available in the ECM were mostly the same or exactly the same as at their typical dispensary. Participant purchase choices in actual dispensary purchases closely matched ECM purchases, with 88% of product choices in typical real-world cannabis dispensaries matching the ECM products purchased. Discussion: Initial testing of the ECM indicates it is an acceptable and feasible tool for understanding cannabis purchasing and choice behavior. These preliminary findings suggest that the ECM mimics cannabis dispensary settings with people making similar choices to those made in the real world.

Pilot trial of a telehealth-delivered behavioral economic intervention promoting cannabis-free activities among adults with cannabis use disorder.

BACKGROUND: Cannabis is increasingly consumed and increasingly perceived as harmless. Among those whose use develops into a cannabis use disorder (CUD), <5% initiate and engage in treatment. Thus, novel options for low-barrier, appealing treatments are needed to foster engagement in care. METHODS: We conducted an open trial of a telehealth-delivered multicomponent behavioral economic intervention for non-treatment-engaged adults with CUD. Participants with CUD were recruited from a health system and screened for eligibility. Participants completed behavioral economic indices (cannabis demand, proportionate cannabis-free reinforcement), measures of cannabis use and mental health symptoms, and provided open-ended feedback on the intervention experience. RESULTS: Of the 20 participants who enrolled and engaged in the initial intervention session, 70% (14 out of 20) completed all intervention components. All participants were satisfied/very satisfied with the intervention and 85.7% reported the telehealth delivery made it at least slightly easier/more likely for them to receive substance use care. Baseline to immediate post-treatment, behavioral economic cannabis demand decreased (intensity: Hedges' g = 0.14, maximum total expenditure: Hedges' g = 0.53, maximum expenditure for a single hit: Hedges' g = 0.10) and proportionate cannabis-free reinforcement (Hedges' g = 0.12) increased. Past-month total cannabis use decreased by 8.9% from baseline to post-treatment (Hedges' g = 0.39), along with decreases in recent depression (Hedges' g = 0.50) and anxiety symptoms (Hedges' g = 0.29). DISCUSSION: These preliminary findings suggest that this behavioral economic intervention was highly acceptable and feasible for adults with untreated CUD. Changes in potential mechanisms of behavior change (cannabis demand, proportionate cannabis-free reinforcement) were consistent with reduced frequency of cannabis use and improved mental health outcomes.

A systematic review of remotely delivered contingency management treatment for substance use.

BACKGROUND: Substance use and related consequences (e.g., impaired driving, injuries, disease transmission) continue to be major public health concerns. Contingency management (CM) is a highly effective treatment for substance use disorders. Yet CM remains vastly underutilized, in large part due to implementation barriers to in-person delivery. If feasible and effective, remote delivery of CM may reduce barriers at both the clinic- and patient-level, thus increasing reach and access to effective care. Here, we summarize data from a systematic review of studies reporting remote delivery of CM for substance use treatment. METHODS: We conducted a systematic review, reported according to PRISMA guidelines. The study team identified a total of 4358 articles after deduplication. Following title and abstract screening, full-text screening, and reference tracking, 39 studies met the eligibility criteria. We evaluated the methodological quality of the included studies using the Effective Public Health Practice Project Quality tool. RESULTS: Of 39 articles included in the review, most (n = 26) targeted cigarette smoking, with others focusing on alcohol (n = 9) or other substance use or targeting multiple substances (n = 4). Most remotely delivered CM studies focused on abstinence (n = 29), with others targeting substance use reduction (n = 2), intervention engagement (n = 5), and both abstinence and intervention engagement (n = 3). CM was associated with better outcomes (either abstinence, use reduction, or engagement), with increasingly more remotely delivered CM studies published in more recent years. Studies ranged from moderate to strong quality, with the majority (57.5 %) of studies being strong quality. CONCLUSIONS: Consistent with in-person CM, remotely delivered CM focusing on abstinence or use reduction from substances or engagement in substance use treatment services improves outcomes at the end of treatment compared to control conditions. Moreover, remotely delivered CM is feasible across a variety of digital delivery platforms (e.g., web, mobile, and wearable), with acceptability and reduced clinic and patient burden as technological advancements streamline monitoring and reinforcer delivery.