Young Adult Depression and Cannabis Use: Associations Before and After Recreational Legalization.

INTRODUCTION: The co-occurrence of depression with cannabis use worsens both mood and substance use disorder outcomes, with young adults particularly at risk of co-occurrence. This research investigates whether the association of state-level prevalence rates of young adult (age 18-25) depression and cannabis use in the U.S. changed following enactment of recreational (adult use) cannabis legalization between 2008 and 2019. METHODS: Annual, state prevalence data on past-year major depressive episode (hereafter, depression) and past-month cannabis use were extracted from the National Survey on Drug Use and Health (N=600 state-year observations). Moderated regression models tested whether the association of depression with cannabis use differed before versus after recreational legalization by comparing prevalence rates of depression and cannabis use in states that enacted recreational legalization to those that did not, while fixing state, year, and medical legalization effects. Data were accessed and analyzed in 2023. RESULTS: Prevalence rates of both depression and cannabis use increased throughout the study period. The positive statistical effect of depression on cannabis use more than doubled in magnitude after legalization (ß=0.564, 95% CI=0.291, 0.838) as compared to before (ß=0.229, 95% CI=0.049, 0.409), representing a significant change (ß=0.335, 95% CI=0.093, 0.577). CONCLUSIONS: These results suggest that the association between prevalence rates of young adult depression and cannabis use strengthened following recreational legalization in the U.S. This is potentially due to increases in cannabis accessibility and the acceptance of the health benefits of cannabis, which may enhance the use of cannabis as a coping mechanism among young adults with depression.

Testing Mechanisms of Change for Text Message-Delivered Cognitive Behavioral Therapy: Randomized Clinical Trial for Young Adult Depression.

BACKGROUND: Current psychiatric epidemiological evidence estimates that 17% of young adults (aged 18-25 years) experienced a major depressive episode in 2020, relative to 8.4% of all adults aged ≥26 years. Young adults with a major depressive episode in the past year are the least likely to receive treatment for depression compared with other age groups. OBJECTIVE: We conducted a randomized clinical trial following our initial 4-week SMS text message-delivered cognitive behavioral therapy (CBT-txt) for depression in young adults. We sought to test mechanisms of change for CBT-txt. METHODS: Based on participant feedback, outcome data, and the empirical literature, we increased the treatment dosage from 4-8 weeks and tested 3 mechanisms of change with 103 young adults in the United States. Participants were from 34 states, recruited from Facebook and Instagram and presenting with at least moderate depressive symptomatology. Web-based assessments occurred at baseline prior to randomization and at 1, 2, and 3 months after enrollment. The primary outcome, the severity of depressive symptoms, was assessed using the Beck Depression Inventory II. Behavioral activation, perseverative thinking, and cognitive distortions were measured as mechanisms of change. Participants were randomized to CBT-txt or a waitlist control condition. Those assigned to the CBT-txt intervention condition received 474 fully automated SMS text messages, delivered every other day over a 64-day period and averaging 14.8 (SD 2.4) SMS text messages per treatment day. Intervention texts are delivered via TextIt, a web-based automated SMS text messaging platform. RESULTS: Across all 3 months of the study, participants in the CBT-txt group showed significantly larger decreases in depressive symptoms than those in the control group (P<.001 at each follow-up), producing a medium-to-large effect size (Cohen d=0.76). Over half (25/47, 53%) of the treatment group moved into the "high-end functioning" category, representing no or minimal clinically significant depressive symptoms, compared with 15% (8/53) of the control condition. Mediation analysis showed that CBT-txt appeared to lead to greater increases in behavioral activation and greater decreases in cognitive distortions and perseverative thinking across the 3-month follow-up period, which were then associated with larger baseline to 3-month decreases in depression. The size of the indirect effects was substantial: 57%, 41%, and 50% of the CBT-txt effect on changes in depression were mediated by changes in behavioral activation, cognitive distortions, and perseverative thinking, respectively. Models including all 3 mediators simultaneously showed that 63% of the CBT-txt effect was mediated by the combined indirect effects. CONCLUSIONS: Results provide evidence for the efficacy of CBT-txt to reduce young adult depressive symptoms through hypothesized mechanisms. To the best of our knowledge, CBT-txt is unique in its SMS text message-delivered modality, the strong clinical evidence supporting efficacy and mechanisms of change. TRIAL REGISTRATION: ClinicalTrials.gov NCT05551702; https://clinicaltrials.gov/study/NCT05551702.

Treating Young Adult Depression With Text-Delivered Cognitive Behavioral Therapy: A Pilot Randomized Clinical Trial.

Young adults (ages 18 to 25) in the U.S. suffer from the highest rates of past-year major depressive episode and are the least likely to receive treatment compared to other age groups. As such, we examined the feasibility, acceptability, and efficacy of a text-message delivered cognitive behavioral therapy: CBT-txt with young adults. The study was a 2-month pilot RCT to test a 4-week intervention for depression that contained 197 text messages (average 12 texts every other day). The sample, recruited via Facebook and Instagram, was 102 U.S. young adults who presented with at least moderate depressive symptomatology. Assessments occurred at baseline prior to randomization and at 1 and 2 months post enrollment. The primary outcome, severity of depressive symptoms, was assessed using the Beck Depression Inventory II. Feasibility benchmarks were met and participants reported high levels of engagement with and acceptability of the intervention. Logistic regression indicated that treatment participants were three times as likely to have minimal or mild depression symptoms at 2 months compared to waitlist control participants. Latent change score modeling found that the strongest significant treatment effect appeared at the 1-month follow-up period, particularly for participants who began with severe depressive symptoms. Mediation analysis revealed significant indirect treatment effects of increases in behavioral activation on reducing depressive symptoms, suggesting a mechanism of change. Limitations were that the sample was relatively small and consisted of primarily women. These results provide initial evidence for the feasibility, acceptability, and efficacy of a text-delivered treatment for young adult depression.

Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials.

The current study describes an individual participant data meta-analysis (IPDMA) testing the efficacy of a peer-network counseling (PNC) intervention for preventing substance use escalation in adolescents and young adults. PNC has shown efficacy in reducing substance use among adolescents and young adults across small-scale randomized controlled trials (RCTs). Identifying expected large-scale effects and moderators is an important next step in guiding use of PNC in practice. To this end, we combine three small-scale RCTs to test PNC intervention effects on substance use change in a combined sample of 421 adolescents and young adults (50% intervention, 55% female, 69% Black/African-American, M age [SD] = 17.3 [2.2] years). Our approach combines latent change score modeling in a structural equation modeling (SEM) framework with study-level fixed effects to obtain (a) a more generalizable PNC effect than we could obtain with each constituent sample and (b) greater power and precision for individual-level moderation of treatment effects. We found that although PNC main effects on substance use outcomes (past 30-day cannabis, alcohol, tobacco, and drug use) were not significant, PNC effects were moderated by individual-level pre-intervention substance use frequency. PNC more strongly reduced drug use at the 1-month follow-up and cannabis use at the 3-month follow-up among participants who showed higher baseline use of these substances. Implications of our approach and findings for prevention researchers are discussed.

Recommendations for Identifying Valid Wear for Consumer-Level Wrist-Worn Activity Trackers and Acceptability of Extended Device Deployment in Children.

BACKGROUND: Self-reported physical activity is often inaccurate. Wearable devices utilizing multiple sensors are now widespread. The aim of this study was to determine acceptability of Fitbit Charge HR for children and their families, and to determine best practices for processing its objective data. METHODS: Data were collected via Fitbit Charge HR continuously over the course of 3 weeks. Questionnaires were given to each child and their parent/guardian to determine the perceived usability of the device. Patterns of data were evaluated and best practice inclusion criteria recommended. RESULTS: Best practices were established to extract, filter, and process data to evaluate device wear, r and establish minimum wear time to evaluate behavioral patterns. This resulted in usable data available from 137 (89%) of the sample. CONCLUSIONS: Activity trackers are highly acceptable in the target population and can provide objective data over longer periods of wear. Best practice inclusion protocols that reflect physical activity in youth are provided.

Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use.

Using cannabis to reduce psychological and physical distress, referred to as self-medication, is a significant risk factor for cannabis use disorder. To better understand this high-risk behavior, a sample of 290 young adults (ages 18-25; 45.6% female) were recruited from two U.S. universities in January and February of 2020 to complete a survey about their cannabis use and self-medication. Results: seventy-six percent endorsed using cannabis to reduce problems such as anxiety, sleep, depression, pain, loneliness, social discomfort, and concentration. When predicting reasons for self-medication with cannabis, logistic regression models showed that lower CUDIT-R scores, experiencing withdrawal, living in a state where cannabis was illegal, and being female were all associated with higher rates of self-medication. Withdrawal symptoms were tested to predict self-medication with cannabis, and only insomnia and loss of appetite were significant predictors. To further explore why young adults self-medicate, each of the original predictors were regressed on seven specified reasons for self-medication. Young adults experiencing withdrawal were more likely to self-medicate for pain. Participants living where cannabis is legal were less likely to self-medicate for anxiety and depression. Living where cannabis is illegal also significantly predicted self-medicating for social discomfort-though the overall model predicting social discomfort was statistically non-significant. Finally, female participants were more likely to self-medicate for anxiety. These results suggest widespread self-medication among young adults with likely CUD and underscore the complexity of their cannabis use. The findings have implications for understanding why young adults use cannabis in relation to psychological and physical distress and for accurately treating young adults with cannabis use disorder.

Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes.

Mobile health (mHealth) interventions have proliferated rapidly in part because of their advantages in reducing consumer and provider burden, but less attention has been paid to participant responsiveness to mHealth programs and how this may affect outcomes. This study adds to that literature by examining whether participant responsiveness to a text messaging-delivered intervention was predictive of treatment outcomes over baseline levels of the outcome. We analyzed data from a pilot-randomized controlled trial of a text messaging-intervention to treat young adults with cannabis use disorder (treatment arm, N = 47), examining three indicators of responsiveness (two behavioral: treatment completion and booster message participation; and one subjective: perceived helpfulness of treatment) on abstinence from cannabis use and use-related problems measured at 3-month follow-up. With the exception of completion, the indicators were positively correlated with each other. Each of the indicators was predictive of better treatment outcomes above and beyond baseline risk. Treatment completion and booster participation-measured via technical data captured during intervention administration-appeared to be stronger predictors of improved outcomes than self-reported perceived helpfulness. Results suggest that behavioral and subjective responsiveness measures appear to be valid indicators of treatment response to mHealth interventions for substance use. Responsiveness measured via technical data captured during intervention administration may be a stronger and more efficient strategy for monitoring continued engagement. We discuss implications of these findings for deploying mHealth interventions at scale and monitoring responsiveness.

Effects of a cannabis use disorder text message-delivered treatment on young adult alcohol misuse: Differential effects by gender.

Alcohol misuse is more prevalent, frequent, and severe among young adults who use cannabis. Treatment of dual alcohol and cannabis users may have mixed results, with some studies reporting that alcohol misuse increases when cannabis use decreases (substance substitution), while others report that alcohol misuse decreases along with decreasing cannabis use (treatment spillover), and others report no association. Additionally, little research tests whether gender differences are found in treatment of dual alcohol and cannabis users, which may be expected given previous alcohol-focused treatments showing larger effects for females. In the current study, we present a secondary analysis of a randomized clinical trial testing a text message-delivered cannabis use disorder (CUD) treatment (peer network counseling text or "PNC-txt"). The trial included 101 young adults ages 18-25 who met criteria for CUD. We tested whether alcohol use and binge drinking frequency (4+/5+ drinks for women/men) decreased in response to the PNC-txt treatment, which has previously shown effectiveness in reducing cannabis use days. Latent growth models tested PNC-txt effects on the monthly rate of change in alcohol use and binge drinking across three months. In the full sample, we found no evidence of significant treatment effects on alcohol use (d = -0.07) or binge drinking (d = -0.10). Moderation analyses, however, indicated the PNC-txt effect on both alcohol use and binge drinking differed significantly by gender. PNC-txt led to significantly larger decreases in alcohol use (d = -0.53) and binge drinking days (d = -0.43) across the three months for females, whereas the study saw opposite (but nonsignificant) effects for males (d = 0.30 and 0.16 for alcohol use and binge drinking, respectively). We found no evidence that reductions in alcohol use and binge drinking were associated with cannabis use decreases, arguing against direct substitution or spillover effects. These results provide evidence that treatments focused on cannabis use may have secondary beneficial effects for young-adult alcohol misuse, although such effects may be limited to women.

Neighborhood disadvantage moderates the effect of a mobile health intervention on adolescent depression.

This study leverages data from a pilot randomized controlled trial to investigate whether the effectiveness of a text-delivered mHealth intervention targeting adolescent depression and anxiety differs according to residential- and activity space-based measures of exposure to community-level socioeconomic disadvantage. For depression, we find that intervention efficacy is significantly stronger for youth residing in more disadvantaged neighborhoods, even after controlling for individual level socioeconomic status, as well as marginal moderating effects of activity space-based neighborhood disadvantage on treatment efficacy. We do not find evidence of treatment efficacy moderation by neighborhood disadvantage regarding anxiety. While the generalizability of our findings is restricted to this sample and for this intervention, this research serves as a motivating example and initial evidence for how mHealth intervention efficacy can vary by characteristics of the environment, in particular community-level disadvantage. Future clinical research should investigate whether the effectiveness of mHealth interventions may be enhanced by personalization based on an individual's contextual environmental exposures.

Passive Sensing of Preteens' Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy.

BACKGROUND: Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed. OBJECTIVE: This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample. METHODS: The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data. RESULTS: Self-report of smartphone screen use was partly consistent with objective measurement (r=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%). CONCLUSIONS: The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use.

An update on the assessment of culture and environment in the ABCD Study®: Emerging literature and protocol updates over three measurement waves.

Advances in our understanding of risk and resilience factors in adolescent brain health and development increasingly demand a broad set of assessment tools that consider a youth's peer, family, school, neighborhood, and cultural contexts in addition to neurobiological, genetic, and biomedical information. The Culture and Environment (CE) Workgroup (WG) of the Adolescent Brain Cognitive Development (ABCD) Study curates these important components of the protocol throughout ten years of planned data collection. In this report, the CE WG presents an update on the evolution of the ABCD Study® CE protocol since study inception (Zucker et al., 2018), as well as emerging findings that include CE measures. Background and measurement characteristics of instruments present in the study since baseline have already been described in our 2018 report, and therefore are only briefly described here. New measures introduced since baseline are described in more detail. Descriptive statistics on all measures are presented based on a total sample of 11,000+ youth and their caregivers assessed at baseline and the following two years. Psychometric properties of the measures, including longitudinal aspects of the data, are reported, along with considerations for future measurement waves. The CE WG ABCD® components are an essential part of the overall protocol that permits characterization of the unique cultural and social environment within which each developing brain is transactionally embedded.

Reducing Risk for Adolescent Substance Misuse with Text-Delivered Counseling to Adolescents and Parents.

Background: Text-delivered prevention programs provide unique opportunities to deliver substance use prevention interventions to at-risk populations. Methods: A pilot randomized controlled trial was conducted to test the feasibility, acceptability, and preliminary efficacy of a 4-week, automated personalized text-messaging prevention program, designed to reduce risk factors and increase protective factors associated with adolescent substance use and misuse. Sixty-nine adolescents were recruited from a Federally Qualified Health Care clinic and randomized to a text-delivered intervention, or a wait-list control condition. Simultaneously, fifty-two parents of adolescent participants were enrolled into a parenting skills text-delivered intervention. Participants completed a baseline assessment and three follow-up surveys over three-months. Adolescent saliva specimens for drug testing were collected. Results: All intervention-allocated adolescents implemented at least one of the text-based counseling recommendations and 79% indicated that they found the texts helpful. Significant intervention effects were found on risk and protective factors for substance misuse. Adolescents in the intervention group reported reduced depression symptoms (d = -.63) and anxiety symptoms (d = -.57). Relative to controls, adolescents in the intervention group maintained a higher quality of parental relationship (d = .41) and parenting skills (d = .51), suggesting a prophylactic effect. Marginal decrease in the odds of positive drug tests were found for youth in intervention group (77.1% decrease, p = 0.07) but not with controls (54.3% decrease, p = 0.42,). Conclusions: Results provide preliminary evidence in the feasibility, acceptability, and efficacy of targeting risk and protective factors that are implicated in substance use via text-delivered interventions for high-risk populations.

Residential Greenspace and Urban Adolescent Substance Use: Exploring Interactive Effects with Peer Network Health, Sex, and Executive Function.

While urban greenspace is increasingly recognized as important to mental health, its role in substance use is understudied. This exploratory study investigates the interaction of greenspace with peer network health, sex, and executive function (EF) in models of substance use among a sample of disadvantaged, urban youth. Adolescents and their parents were recruited from a hospital in the mid-Atlantic region of the U.S. Residential greenspace at the streetscape level was derived from analysis of Google Street View imagery. Logistic regression models were used to test the moderating effect of greenspace on the association between peer network health and substance use, as well as additional moderating effects of sex and EF. The significant negative association of peer network health with substance use occurred only among youth residing in high greenspace environments, a moderating effect which was stronger among youth with high EF deficit. The moderating effect of greenspace did not differ between girls and boys. Greenspace may play an important role in moderating peer influences on substance use among disadvantaged, urban adolescents, and such moderation may differ according to an individual's level of EF. This research provides evidence of differences in environmental susceptibility regarding contextual mechanisms of substance use among youth, and it informs the development of targeted substance use interventions that leverage social and environmental influences on adolescent substance use.

Treatment admissions for opioids, cocaine, and methamphetamines among adolescents and emerging adults after legalization of recreational marijuana.

BACKGROUND: A public health concern stemming from recreational marijuana legalization (RML) is the idea that marijuana may act as a "gateway" drug among youth and young adults, where growing marijuana use will lead to increasing substance use disorder (SUD) for "harder" illicit drugs. This study investigates whether SUD treatment admissions for cocaine, opioids, and methamphetamines increased following RML enactment in Colorado and Washington for adolescents and emerging adults. METHODS: We entered annual 2008-2017 treatment admissions data from the SAMHSA Treatment Episode Dataset - Admissions (TEDS-A) into difference-in-differences models to investigate whether the difference in treatment admissions for cocaine, opioids, and methamphetamines among adolescents (12-17), early emerging adults (18-20), and late emerging adults (21-24) before versus after RML enactment differed between Colorado and Washington and states without RML. RESULTS: There was no significant difference (p < 0.05) between Colorado and Washington and other states in the pre- versus postlegalization trajectories of SUD treatment admissions for cocaine, opioids, or methamphetamines for adolescents (ß = -0.152, 95% CI = -0.500, 0.196; ß = -0.374, 95% CI = -1.188, 0.439; ß = 0.787, 95% CI = -0.511, 2.084, respectively), early emerging adults (ß = -0.153, 95% CI = -0.762, 0.455; ß = 0.960, 95% CI = -4.771, 6.692; ß = 0.406, 95% CI = -2.232, 3.044, respectively) or late emerging adults (ß = -0.347, 95% CI = -1.506, 0.812; ß = -4.417, 95% CI = -16.264, 7.431; ß = 1.804, 95% CI = -2.315, 5.923, respectively). CONCLUSION: RML in Washington and Colorado was not associated with an increase in adolescent or emerging adult SUD treatment admissions for opioids, cocaine, or methamphetamines. Future studies should extend this research to other states, other substances, for older adults, and over longer time periods; and consider how the effects of drug policies may differ across different jurisdictions.

Depressive symptoms moderate cannabis use for young adults in a Text-Delivered randomized clinical trial for cannabis use disorder.

BACKGROUND: The importance and complexity of addressing both substance use and mood disorders such as depression within traditional treatment settings is well established. However, little is known about this issue within the context of mHealth treatment. Research is needed to determine if depression interacts with mHealth delivered cannabis use disorder treatment similarly compared traditional treatments. OBJECTIVE: We examined the moderating effect of depressive symptoms on cannabis use with 96 young adults (ages 18 to 25) enrolled in a text-delivered randomized clinical trial for cannabis use disorder. Participants were followed for three months. METHOD: We used a repeated measures general linear model to test if depressive symptoms moderated the treatment's effect on cannabis use. Self-report of past 30-day use and urinalysis of THC metabolites were the outcome measures. Depressive symptoms were measured using the PHQ-2, with scores >3 serving as the clinical cut-point, indicating likely depression disorder. RESULTS: Participants with sub-threshold depression scores significantly reduced the number of days they used cannabis across all three months of the study. For participants with scores above the clinical cut-point, treatment had no effect on cannabis use. Similarly, participants with sub-threshold depression scores reduced the number of positive urinalysis results at three months. Effect sizes ranged from small to medium. CONCLUSION: Results support the importance of simultaneously addressing depressive symptoms and cannabis use when treating young adults using text-delivered counseling. As mHealth interventions continue to demonstrate efficacy in addressing substance use disorders, the integration of mood disorder treatments appears warranted.

The accuracy of young adult cannabis users' perceptions of friends' cannabis and alcohol use.

OBJECTIVE: Understanding the complex influence of peers on young adult substance use is an important component of intervention research and is challenging methodologically. The false consensus theory suggests that individuals falsely attribute their own substance use behaviors onto others, producing biased data. METHODS: We tested this theory with 39 young adults who had a cannabis use disorder and a mean age of 20. Participants (egos) recruited three of their close friends (alters). Egos reported their past 30-day cannabis and alcohol use and their perceptions of alters' use. Alters also reported their actual past 30-day cannabis and alcohol use. RESULTS: Results demonstrated that egos were very accurate in their perceptions of the frequency of alters' cannabis (ρ = 0.82, p < 0.001) and alcohol (ρ = 0.74, p < 0.001) use. Linear regression models predicted alters' actual cannabis and alcohol use based on egos' perceptions of alters' use, controlling for egos' own substance use. Egos' perceptions of alters' cannabis use strongly predicted alters' actual use (ß = 0.80, p < 0.001, adj-R2 = 0.67), and egos' perceptions of alters' alcohol use also predicted alters' actual use (ß = 0.66, p < 0.001, adj-R2 = 0.62). Egos' own substance use did not predict alters' use in either model. CONCLUSIONS: Results provide evidence that the false consensus theory may be limited when applied to young adults with cannabis use disorder within a close-friend research framework. The results support the hypothesis that young adults are very accurate in their perceptions of the frequency of close friends' substance use and that these perceptions are independent of egos' own use. These findings support the continued use of ego-centric reported close peer substance use for understanding peer effects.

Who responds best to text-delivered cannabis use disorder treatment? A randomized clinical trial with young adults.

Young adults ages 18 to 25 have the highest percentage (5%) of cannabis use disorder (CUD) among all age groups, and are the least likely to receive treatment compared with other age groups. Because this population is in need of creative approaches for treatment engagement, we tested Peer Network Counseling-txt (PNC-txt), a 4-week, automated text-delivered cannabis treatment that focuses on close peer relations with 96 treatment seeking young adults. Participants meeting CUD criteria were randomized to PNC-txt, or assessment only control condition and followed for 3-months. At 3-months, the PNC-txt group reduced number of heavy cannabis-use days and relationship problems due to cannabis use compared with controls. Subgroup analyses were conducted with cases having more and fewer CUD symptoms than the full sample. For cases with fewer symptoms, but not for those with more, PNC-txt reduced past 30-day use, urges to use, memory problems, and relationship problems due to cannabis use compared with controls. Treatment satisfaction data from the full sample indicated that participants thought the intervention texts helped them reduce or manage their cannabis use and increased their understanding of the negative relational effects associated with ongoing cannabis use. Findings provide evidence of the efficacy of PNC-txt in treating CUD in young adults, support clinically targeting peer relations, and suggest that PNC-txt may be most helpful for those with mild to moderate CUD severity. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Young adults' perceptions of acceptability and effectiveness of a text message-delivered treatment for cannabis use disorder.

OBJECTIVE: This study collected in-depth treatment satisfaction and effectiveness data to provide insight into the mechanisms of behavior change and to identify aspects of a text message- delivered treatment for cannabis use disorder that could be improved. METHODS: Data were collected via a web-based survey from 30 young adults (ages 18-25) who were recent participants in a randomized controlled trial of Peer Network Counseling-txt (PNC- txt), a text message treatment for cannabis use disorder. The survey assessed reactions to the text-delivered treatment, changes in cannabis use, reactions to the peer-focused components, and feedback about improvements to the treatment. RESULTS: Nearly all (93%) respondents found PNC-txt to be helpful to their treatment. The majority of the sample (63%) reported that PNC-txt heightened awareness of their cannabis use, and 40% reported a better understanding of problematic use. Fifty percent reported that they use less cannabis than they did prior to the intervention. Seventy percent of respondents stated that it was helpful to answer questions about their close friend group and nearly one- quarter of participants decreased the amount of time spent with "unhealthy" friends. Approximately 85% indicated that thinking about their peer network helped them meet goals of stopping, reducing, or better managing their cannabis use. CONCLUSIONS: These findings provide insight into the acceptability of the text-delivered treatment platform and potential mechanisms of behavior change for PNC-txt. The participants provided positive feedback about the treatment and indicated that it helped reduce their cannabis use. Given the acceptability and promising efficacy of PNC-txt, continued research is warranted, particularly with adolescents and with larger samples.

Remote biochemical verification of tobacco use: Reducing costs and improving methodological rigor with mailed oral cotinine swabs.

INTRODUCTION: Multi-site tobacco cessation trials could benefit from remote biochemical verification for tobacco use without invasive, time-consuming, or expensive collection processes. To the authors' knowledge, there have been no previous studies examining the predictive validity of oral fluid swabs for the detection of cotinine levels with samples collected off-site and mailed for on-site interpretation. METHODS: Tobacco users were recruited through an online survey and participants who met the initial eligibility criteria were invited to take part. Those who elected to enroll provided two positive iScreen Oral Fluid Device (OFD) cotinine test samples during an in-office visit. One sample was used as a control and stored in a temperature-regulated location, while the other was mailed from one of ten surrounding counties. Mailing method and time from collection to mailing were varied, and results were assessed against control samples. RESULTS: Twenty tobacco users enrolled in the study. Participants ranged in age from 18 to 31 (M = 16.45, SD = 1.54). Several types of tobacco use were reported, with electronic cigarettes the most commonly reported product. None of the mailed sample interpretations changed from pre- to post-mailing, with up to twenty-one days from sample collection to results confirmation. CONCLUSIONS: Results indicate that the use of mailed oral swabs may be an easy to use, reliable, and low-cost option for the detection of cotinine in tobacco users when in-person collection is not feasible. Test result interpretations were found to be unchanged after mailing, and after extended post-collection time gaps.

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.