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Objectives: American Indian and Alaskan Native (AIAN) populations have the highest rate of alcohol use disorder (AUD). Binge drinking is a known predecessor of AUD and is prevalent in college-attending populations. However, little is known about the prevalence and risk factors related to AIAN college student binge drinking. The current study examines prevalence of binge drinking and association with socio-demographic features, other substance use, exposure to discrimination and feelings of belonging within collegiate institutions., Design: Data were collected by the Healthy Minds Study. Present analyses were restricted to 2- and 4-year college attending students in the 2021-2022 academic year who identified as AIAN (n = 1383). We used descriptive, bivariate and multivariate Poisson weighted models to evaluate distributions and associations of binge drinking, age, gender, socioeconomic status, degree program, military experience, substance use, sexual assault, discrimination, and feelings of belonging within the institution., Results: In the prior 2 weeks, 26.3% of AIAN students reported binge drinking. Binge drinking commonly overlapped with other substance use. AIAN students aged 21-34 reported the highest rates of binge drinking, as did students pursuing bachelor's degrees. AIAN students who identified as trans or queer gender were less likely to report binge drinking, while across gender identities those reporting sexual assault or racial discrimination were more likely to report binge drinking in multivariate analyses., Conclusion: There are multiple factors associated with binge drinking, representing individual and contextual influences on AIAN students. Developing prevention and intervention activities to address overlap in substance use and high concurrence of sexual assault and binge drinking are critical. Additionally, colleges must make concerted efforts to reduce racial discrimination and be more inclusive of AIAN students to reduce institutional-based features that exacerbate risk.

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., Competing Interests: Declaration of competing interest Susan Murphy holds concurrent appointments as a Professor of Statistics and Computer Science at Harvard University and as an Amazon Scholar. This paper describes work performed at Harvard University and is not associated with Amazon., (Copyright © 2024. Published by Elsevier Inc.)

Objectives: Stimulant use is a growing problem, but little is known about service utilization among patients with stimulant use disorder (StUD). In the context of the overdose crisis, much research has focused on patients with opioid use disorder (OUD). It is unclear how the characteristics, treatment receipt, and hospitalization of patients with StUD differ from patients with OUD., Methods: Electronic health record data were extracted for national Veterans Health Administration patients with a visit from March 1, 2020, to February 28, 2021 with StUD and/or OUD (N = 132,273). We compared patients with StUD without OUD to those with (1) co-occurring StUD + OUD and (2) OUD without StUD. Patient characteristics, substance use disorder treatment, and hospitalizations in the year following patients' first study period visit were descriptively compared. Treatment and hospitalization were also compared in adjusted regression models., Results: Compared with patients with OUD + StUD, those with StUD without OUD were less likely to receive outpatient (adjusted odds ratio [aOR] 0.49, 95% confidence interval [CI] 0.47-0.50) or any treatment (aOR 0.47, 95% CI 0.46-0.49). Compared with patients with OUD without StUD, those with StUD without OUD were less likely to receive outpatient (aOR 0.51, 95% CI 0.49-0.52) or any treatment (aOR 0.56, 95% CI 0.54-0.58) and more likely to receive residential treatment (aOR 2.18, 95% 2.05-2.30) and to be hospitalized (aOR 1.62, 95% 1.56-1.69)., Conclusions: Patients with StUD may be less likely to receive treatment and more likely to be hospitalized than patients with OUD. Efforts focused on mitigating hospitalization and increasing treatment receipt for patients with StUD are needed., Competing Interests: LAL consults on telehealth for substance use disorder treatment for Providers Clinical Support System with funding from the Substance Abuse and Mental Health Services Administration, and for National Center for Quality Assurance with funding from Alkermes. The other authors report no conflicts of interest., (Copyright © 2024 American Society of Addiction Medicine.)

Introduction: Cannabis is increasingly available to individuals in the United States, with the majority of states legalizing medical or recreational cannabis use. Cannabis expectancies (e.g., positive expectations from cannabis use) are related to more frequent cannabis use and associated with greater odds of lapse following a cessation attempt., Methods: To evaluate the relationship between expectancies and cannabis- and health-related outcomes, we surveyed adults who used medical cannabis for chronic pain (n = 633; 52.2 % female; 82.1 % white) over a two-year period. Then, we performed a principal components analysis (PCA) on the Cannabis Expectancies Questionnaire to derive components of cannabis expectancies. We performed k-means clustering to identify subgroups with similar expectancies. The relationship between subgroup assignment and cannabis use outcomes (frequency, quantity), and physical and mental health functioning were evaluated., Results: The PCA identified a three-component solution and k-means clustering identified four subgroups: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. Participants' cannabis expectancies were dynamic over time. After adjusting for demographics, expectancy subgroup was able to predict six-month cannabis use frequency (χ2(3) = 11.244; p = 0.010) and mental health functioning (χ2(3) = 24.926; p < 0.001), but not quantity (χ2(3) = 2.741, p = 0.433) or physical health functioning (χ2(3) = 5.110, p = 0.164)., Conclusion: In a large cohort of individuals who use medical cannabis, four subgroups with differing cannabis expectancies emerged: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. These subgroups predicted subsequent outcomes and may be important for targeted intervention approaches to reduce cannabis use and improve functioning., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Introduction: Contingency management (CM) is one of the most effective interventions for substance use disorders (SUDs), including stimulant use disorder. In the United States, the Veterans Health Administration (VHA) led the largest-scale rollout of CM in the US to date, but little is known about characteristics of patients treated and CM clinical practices., Methods: In this retrospective cohort study, we used VHA electronic health records data to descriptively examine CM treatment course (e.g., number of visits, time between visits, duration of treatment episode) and characteristics of patients receiving CM for SUDs from 2018 to 2022., Results: From January 2018 to September 2022, 2844 patients received CM at 90 VA Health Systems (including 98 VA Medical Center, 7 community-based outpatient clinics, and 15 other sites). The median number of CM visits was 8 (mean = 10.17, SD = 8.12) visits over the course of 1.5 months (median = 45 days, mean = 57.46 days, SD = 62.65). The target substance was stimulants in 86.42 % of visits. Average age of patients was 52.29 years (SD = 12.10), with 55.06 % of patients experiencing homelessness or housing instability, and 97.50 % of patients diagnosed with more than one SUD. Compared to the year prior to the COVID-19 pandemic (03/2019-02/2020; mean = 957.33, SD = 157.71 visits/month), CM visits declined by 83.20 % in the year following the pandemic (03/2020-02/2021; mean = 160.83, SD = 164.14), and have yet to return to pre-pandemic levels., Conclusions: The CM rollout has been markedly successful in the VHA, with adoption across multiple VHA sites within a complex patient population, indicating the potential for effective, more widespread CM implementation. At the same time, there was a considerable reduction in CM care during the COVID-19 pandemic and CM has not yet returned to pre-pandemic levels. Moreover, only a small minority of VA patients with stimulant use disorder have received CM. Given increasing rates of overdose, including stimulant-involved overdose, it is important to increase CM provision in VHA and non-VHA settings., Competing Interests: Declaration of competing interest The authors of this paper have no conflicts of interest to declare., (Copyright © 2024 Elsevier Inc. All rights reserved.)

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.

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., Competing Interests: The authors of this paper have no conflicts of interest to declare., (© 2024 The Author(s).)

Objective: The U.S. population is aging and increasing numbers of older adults are using cannabis. Cognitive decline is common in older age and subjective memory complaints (SMC) have been associated with increased risk for dementia. While residual cognitive effects of cannabis use at younger ages are well understood, the links between cannabis use and cognition in older adults is less clear. The present study represents the first population-level analysis of cannabis use and SMC in older adults in the U.S., Method: We used the National Survey of Drug Use and Health (NSDUH) dataset to evaluate SMC in respondents over age 50 (N = 26,399) according to past-year cannabis use., Results: Results revealed that 13.2% (95%CI: 11.5%-15.0%) of those who reported cannabis use also reported SMC, compared to 6.4% (95%CI: 6.1%-6.8%) among individuals with no cannabis use. Logistic regression revealed a two-fold increase (OR = 2.21, 95%CI: 1.88-2.60) of reporting SMC in respondents who had used cannabis in the past year, which was attenuated (OR = 1.38, 95%CI: 1.10-1.72) when controlling for additional factors. Other covariates, including physical health conditions, misuse of other substances, and mental illness also significantly contributed to SMC outcomes., Conclusions: Cannabis use represents a modifiable lifestyle factor that has potential for both risk and protective properties that may impact the trajectory of cognitive decline in older age. These hypothesis generating results are important for characterizing and contextualizing population-level trends related to cannabis use and SMC in older adults.

Objective: Rates of stimulant overdose have increased dramatically, which may have been exacerbated by treatment disruptions during the pandemic, but no recent studies have examined use of stimulant use disorder (StUD) treatment., Methods: In this retrospective cohort study (March 2018 to February 2022) of national Veterans Health Administration patients, we use an interrupted time-series analysis to examine the impact of COVID-19 (starting in March 2020) on treatment use for StUD., Results: The number of patients receiving StUD care was increasing pre-COVID (22,640-23,020, February 2018-February 2020) but dropped post-pandemic to 18,578 in February 2022. The monthly number of patients receiving StUD care increased by 34.6 patients per month (95% CI, 1.1-68.0; P=0.04) before March 2020, decreased by 2803.3 patients (95% CI, -3912.3 to -1694.3; P <0.001) in March 2020, and, accounting for pre-COVID trends, further decreased by 85.85 patients per month (95% CI,-148.9.2 to -23.0; P =0.01) after March 2020., Conclusions: Care for StUD drastically declined during the COVID-19 pandemic and has yet to show signs of a return to pre-pandemic levels despite surging rates of stimulant-involved overdose deaths and a critical need to engage people with StUD in care., Competing Interests: Declaration of Competing Interest The authors of this paper have no conflicts of interest to declare., (Copyright © 2023. Published by Elsevier B.V.)

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., Competing Interests: Declaration of Competing Interest The authors do not have any conflicts related to this manuscript to disclose., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Aims: To test separatel the efficacy of a web-based and a peer-based brief intervention (BI), compared with an expanded usual care control (EUC) group, among military reserve component members using alcohoI in a hazardous and harmful manner., Design: In the randomized controlled trial, participants were assigned to: [1] web-based BI with web-based boosters (BI + web), [2] web-based BI with peer-based boosters (BI + peer) or [3] enhanced usual care (EUC)., Setting: Michigan, USA., Participants: A total of 739 Michigan Army National Guard members who reported recent hazardous alcohol use; 84% were male, the mean age was 28 years., Intervention: The BI consisted of an interactive program guided by a personally selected avatar. Boosters were delivered either on the web or personally by a trained veteran peer. A pamphlet, given to all participants, included information on hazardous alcohol use and military-specific community resources and served as the EUC condition., Measurements: The primary outcome measure was binge drinking episodes in the past 30 days, measured at 12 months after the BI., Findings: All randomized participants were included in the outcome analyses. In adjusted analyses, BI + peer [beta = -0.43, 95% confidence interval (CI) = -0.56 to -0.31, P < 0.001] and BI + web (beta = -0.34, 95% CI = -0.46 to -0.23, P < 0.001) reduced binge drinking compared with EUC., Conclusion: This satudy was a web-based brief intervention for hazardous alcohol use, with either web- or peer-based boosters, reduced binge alcohol use among Army National Guard members., (© 2023 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

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., Competing Interests: Declaration of competing interest LAL consults on telehealth for substance use disorder treatment for National Committee for Quality Assurance with funding from Alkermes and for Providers Clinical Support System with funding from SAMHSA., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

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., Competing Interests: Declaration of competing interest None., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Purpose: Cannabis use rates are increasing in the United States. Patients with cancer use cannabis for many reasons, even without high-quality supporting data. This study sought to characterize cannabis use among patients seen in radiation oncology in a state that has legalized adult nonmedical use cannabis and to identify key cannabis-related educational topics., Methods and Materials: Cannabis history was documented by providers using a structured template at patient visits in an academic radiation oncology practice October 2020 to November 2021. Cannabis use data, including recency/frequency of use, reason, and mode of administration, were summarized, and logistic regression was used to explore associations between patient and disease characteristics and recent cannabis use. A multivariable model employed stepwise variable selection using the Akaike Information Criterion., Results: Of 3143 patients total, 91 (2.9%) declined to answer cannabis use questions, and 343 (10.9%) endorsed recent use (≤1 month ago), 235 (7.5%) noted nonrecent use (>1 month ago), and 2474 (78.7%) denied history of cannabis use. In multivariable analyses, those ≥50 years old (odds ratio [OR], 0.409; 95% confidence interval [CI], 0.294-0.568; P < .001) or with history of prior courses of radiation (OR, 0.748; 95% CI, 0.572-0.979; P = .034) were less likely, and those with a mental health diagnosis not related to substance use (OR, 1.533; 95% CI, 1.171-2.005; P = .002) or who smoked tobacco (OR, 3.003; 95% CI, 2.098-4.299; P < .001) were more likely to endorse recent cannabis use. Patients reported pain, insomnia, and anxiety as the most common reasons for use. Smoking was the most common mode of administration., Conclusions: Patients are willing to discuss cannabis use with providers and reported recent cannabis use for a variety of reasons. Younger patients new to oncologic care and those with a history of mental illness or tobacco smoking may benefit most from discussions about cannabis given higher rates of cannabis use in these groups., (Copyright © 2022 American Society for Radiation Oncology. All rights reserved.)

Background: Factors related to risky drinking (e.g., motives, protective behavioral strategies [PBS]) may vary between youth who engage in polysubstance use compared to those who consume alcohol only. We examined differences in factors among youth who consume alcohol only compared to alcohol with other substances (i.e., polysubstance use), and correlates associated with risky drinking between the groups., Methods: Participants ( N =  955; ages 16-24; 54.5% female) who reported recent risky drinking completed measures of alcohol/substance use, alcohol-related consequences, drinking motives, alcohol PBS, mental health symptoms, and emotion dysregulation. Participants were in the polysubstance group if they reported using at least one other substance (e.g., cannabis, stimulants) in addition to alcohol in the past three months. Chi-square and t -tests examined differences between the two groups and multiple regression analyses examined correlates of risky drinking., Results: Most participants (70.4%, n  = 672) reported polysubstance use; these individuals engaged in riskier patterns of drinking, experienced more alcohol-related consequences, used fewer PBS, had stronger drinking motives (enhancement, social, coping), endorsed more mental health symptoms, and reported more emotion dysregulation. Regression models showed that emotion dysregulation significantly associated with risky drinking in the alcohol-only group; conformity and coping motives, alcohol PBS, and anxiety symptoms significantly associated with risky drinking in the polysubstance group., Conclusions: Among risky drinking youth, results indicated youth engaging in polysubstance use have greater comorbidities and individual-level factors associated with risky drinking than youth who consume alcohol only. These findings may inform the tailoring of interventions for individuals who engage in risky drinking and polysubstance use.

The Veterans Crisis Line (VCL) is a core component of VA's suicide prevention strategy. Despite the availability and utility of the VCL, many Veterans do not utilize this resource during times of crisis. A brief, psychoeducational behavioral intervention (termed Crisis Line Facilitation [CLF]) was developed to increase utilization of the VCL and reduce suicidal behaviors in high-risk Veterans. The therapist-led session includes educational information regarding the VCL, as well as a chance to discuss the participant's perceptions of contacting the VCL during periods of crisis. The final component of the session is a practice call placed to the VCL by both the therapist and the participant. The CLF intervention was compared to Enhanced Usual Care (EUC) during a multi-site randomized clinical trial for 307 Veteran participants recently hospitalized for a suicidal crisis who reported no contact with the VCL in the prior 12 months. Initial analyses indicated that participants randomized to the CLF intervention were less likely to report suicidal behaviors, including suicide attempts compared to participants randomized to receive EUC over 12-months of follow-up (χ 2  = 18.48/p < 0.0001), however this effect was not sustained when analyses were conducted on an individual level. No significant differences were found between conditions on VCL utilization. Initial evidence suggests a brief CLF intervention has an impact on preventing suicidal behaviors in Veterans treated in inpatient mental health programs; however, it may not change use of the VCL. This brief intervention could be easily adapted into clinical settings to be delivered by standard clinical staff., Competing Interests: Declaration of competing interest All authors declare that they have no conflicts of interest., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Purpose: Alcohol use among adolescents and emerging adults is an important public health issue requiring prevention approaches. Herein, we describe outcomes from a randomized controlled trial testing the efficacy of group-based social media interventions targeting risky drinking among youth., Procedures: Using social media advertisements to screen potential participants, we recruited 955 youth (ages 16-24) reporting recent risky drinking. After completing a baseline assessment, participants were randomized to 8-week secret Facebook group conditions: Social Media Intervention + Incentives for engagement, Social Media Intervention only, and attention-placebo control. Electronic coaches trained in motivational interviewing facilitated interaction in intervention groups. Primary outcomes include past 3-month alcohol use and consequences over 3-, 6-, and 12-month follow-ups. Secondary outcomes include other drug use, consequences, and impaired driving. We also measured intervention engagement and acceptability., Results: The interventions were well-received, with significantly greater acceptability ratings and engagement in the SMI+I condition relative to other groups. In adjusted analyses, there were no significant differences between interventions and control on alcohol-related outcomes, with all groups showing reductions. Regarding secondary outcomes (70.4% used other drugs), compared to control, the incentivized group reduced other drug use, consequences, and cannabis-impaired driving; the non-incentivized group did not significantly differ from the control condition., Conclusions: Among this predominantly poly-substance using sample, findings were mixed, with significant effects of the incentivized social media intervention on drug (but not alcohol) outcomes. Future studies are needed to further refine social media-delivered interventions to reduce alcohol and other drug use., Trial Registration: ClinicalTrials.gov NCT02809586; University of Michigan HUM#00102242., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Background and Aims: This study aimed to (1) describe trends in stimulant-alone and stimulant and other substance use overdose deaths from 2012 to 2018 and (2) measure patient and service use characteristics across stimulant-related overdose death profiles., Design: Retrospective cohort study of patients who died from stimulant-involved overdose between annual years 2012 and 2018., Setting: United States Veterans Health Administration (VHA). A total of 3631 patients died from stimulant-involved overdose, as identified through the National Death Index., Measurements: Stimulant-involved overdose deaths were categorized by stimulant type (cocaine or methamphetamine/other) and other substance co-involvement. Cause of death data were linked to patient characteristics, including demographic and treatment use preceding overdose from VHA administrative data. We examined trends over time and compared treatment use factors between the following mutually exclusive overdose profiles: cocaine alone, methamphetamine alone, cocaine + opioid, methamphetamine + opioid, any stimulant + other substance and cocaine + methamphetamine., Findings: The rate of overdose death was 3.06 times higher in 2018 than 2012, with increases across all toxicology profiles. Compared with cocaine-involved overdoses, methamphetamine-involved overdoses were less likely in people who were older [adjusted odds ratio (aOR) = 0.22, 95% confidence interval (CI) = 0.06-0.87 aged 65+ versus 18-29] and more likely among those who lived in rural areas (aOR = 2.73, 95% CI = 1.43-5.23). People who died from stimulant + opioid overdoses had lower odds of a stimulant use disorder diagnosis compared with stimulant alone deaths (cocaine: aOR = 0.55, 95% CI = 0.41-0.75, methamphetamine: aOR = 0.44, 95% CI = 0.29-0.68)., Conclusions: The rate of deaths among US Veterans from stimulant-related overdose was three times higher in 2018 than 2012. Key differences in characteristics of patients across overdose toxicology profiles, such as geographic location and health-care use, point to distinct treatment needs based on stimulant use type., (© 2021 Society for the Study of Addiction.)

Background: Motivational incentive interventions are highly effective for smoking cessation. Yet, these interventions are not widely available to people who want to quit smoking, in part, due to barriers such as administrative burden, concern about the use of extrinsic reinforcement (i.e., incentives) to improve cessation outcomes, suboptimal intervention engagement, individual burden, and up-front costs., Purpose: Technological advancements can mitigate some of these barriers. For example, mobile abstinence monitoring and digital, automated incentive delivery have the potential to lower the clinic burden associated with monitoring abstinence and administering incentives while also reducing the frequency of clinic visits. However, to fully realize the potential of digital technologies to deliver motivational incentives it is critical to develop strategies to mitigate longstanding concerns that reliance on extrinsic monetary reinforcement may hamper internal motivation for cessation, improve individual engagement with the intervention, and address scalability limitations due to the up-front cost of monetary incentives. Herein, we describe the state of digitally-delivered motivational incentives. We then build on existing principles for creating just-in-time adaptive interventions to highlight new directions in leveraging digital technology to improve the effectiveness and scalability of motivational incentive interventions., Conclusions: Technological advancement in abstinence monitoring coupled with digital delivery of reinforcers has made the use of motivational incentives for smoking cessation increasingly feasible. We propose future directions for a new era of motivational incentive interventions that leverage technology to integrate monetary and non-monetary incentives in a way that addresses the changing needs of individuals as they unfold in real-time., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Coughlin, Bonar, Walton, Fernandez, Duguid and Nahum-Shani.)

Background: Telemedicine-delivered buprenorphine (tele-buprenorphine) can potentially increase access to buprenorphine for patients with opioid use disorder (OUD), especially during the COVID-19 pandemic, but we know little about use in clinical care., Methods: This study was a retrospective national cohort study of veterans diagnosed with opioid use disorder (OUD) receiving buprenorphine treatment from the Veterans Health Administration (VHA) in fiscal years 2012-2019. The study examined trends in use of tele-buprenorphine and compared demographic and clinical characteristics in patients who received tele-buprenorphine versus those who received in-person treatment only., Results: Utilization of tele-buprenorphine increased from 2.29% of buprenorphine patients in FY2012 (n = 187) to 7.96% (n = 1352) in FY2019 in VHA veterans nationally. Compared to patients receiving only in-person care, tele-buprenorphine patients were less likely to be male (AOR = 0.85, 95% CI: 0.73-0.98) or Black (AOR = 0.54, 95% CI: 0.45-0.65). Tele-buprenorphine patients were more likely to be treated in community-based outpatient clinics rather than large medical centers (AOR = 2.91, 95% CI: 2.67-3.17) and to live in rural areas (AOR = 2.12, 95% CI:1.92-2.35). The median days supplied of buprenorphine treatment was 722 (interquartile range: 322-1459) among the tele-buprenorphine patients compared to 295 (interquartile range: 67-854) among patients who received treatment in-person., Conclusions: Use of telemedicine to deliver buprenorphine treatment in VHA increased 3.5-fold between 2012 and 2019, though overall use remained low prior to COVID-19. Tele-buprenorphine is a promising modality especially when treatment access is limited. However, we must continue to understand how practitioners and patient are using telemedicine and how these patients' outcomes compare to those using in-person care., (Published by Elsevier Inc.)

Same-day alcohol and cannabis use is relatively common in adolescents and young adults, constituting a higher-risk behavior relative to single-substance use. However, the association between quantity of alcohol and cannabis use on co-use days is understudied. We examined the association between the quantity of alcohol and same-day cannabis use with a multilevel regression analysis in a sample of youth (16-24 years old) with risky alcohol use. Participants reported one or more days of alcohol and cannabis over the past month ( N = 468). Quantity of cannabis use was highest on heavy drinking days [ M = 0.91 grams, SD = 0.68] followed by moderate drinking days ( M = 0.78 grams , SD = 0.63), and lowest on days without alcohol use ( M = 0.74 grams, SD = 0.64, p < 0.001). In multilevel modeling analyses, adjusted for clustering within individuals, greater quantity of drinking on a given day was associated with greater cannabis use (estimate = 0.03, p < 0.001). When using alcohol and cannabis on the same day, greater alcohol use was associated with greater cannabis use. Preventing days of heavy use of multiple substances, particularly among at-risk drinkers, may complement interventions addressing co-use generally to prevent substance-related consequences., Competing Interests: Disclosure of interest The authors do not have any personal financial interests related to this manuscript, with two exceptions related to Facebook ad recruitment: a) MW is a minor shareholder in Facebook and has a conflict of interest plan monitored and approved by the University of Michigan; and b) SY received an unrestricted gift from Facebook, on file at the University of California, Los Angeles (his prior employer).

Loneliness is a public health problem causing morbidity and mortality. Individuals with substance use problems are often lonelier than the general population. We evaluate the longitudinal associations between social influences, substance use, and loneliness among adolescents and young adults recruited from an urban Emergency Department (ED). We use secondary data from a natural history study of N=599 youth (ages 14-24) who used drugs at baseline and completed biannual assessments for 24 months; 58% presented to the ED for an assault-related injury and a comparison group comprised 42% presenting for other reasons. Measures assessed cannabis use, alcohol use, and loneliness. Using GEE models, we evaluated the relationships between social influences (peers, parents), substance use, and loneliness via longitudinal data, de-coupling within- and between-person effects. Men reported lower loneliness over time. At the between-person level, individuals with greater alcohol and cannabis use severity and negative peer influences had greater loneliness; positive parental influences were associated with less loneliness. At the within-person level, greater alcohol use severity, negative peer influences, and parental substance use corresponded to increases in loneliness; positive parental influences corresponded to decreases in loneliness. Youth with more severe alcohol and cannabis use had greater loneliness over time. Within individuals, peer and parental social influences were particularly salient markers of loneliness. An ED visit provides an opportunity for linkage to personalized, supportive interventions to curtail negative outcomes of substance use and loneliness., Competing Interests: Declaration of interest: The authors have no conflicts of interest to report.

Background: Alcohol-involved overdose deaths are increasing and often occur with other substances but have been minimally studied compared to other causes of overdose., Methods: We used national Veterans Health Administration (VHA) records linked to National Death Index data from 2012 to 2018 to examine trends in alcohol-related overdose mortality. Patient characteristics and treatment receipt were compared across categories of alcohol overdose deaths (alcohol-only, alcohol+opioids which may include additional substances, and alcohol+other substances without opioids)., Results: From 2012-2018, 2421 Veterans died from an alcohol-involved overdose (alcohol-only: 868, alcohol+opioids: 1269, alcohol+other substances: 284). The alcohol-involved overdose rate increased 57% during this period. Compared to those who died of an alcohol-only overdose, Veterans who died from alcohol+opioids and alcohol+other substances were more likely Black or Hispanic, and to have an opioid use disorder, but less likely to live in rural areas or to be diagnosed with alcohol use disorder (AUD). Only 32.5% of those who died from alcohol-involved overdose received treatment in a substance use disorder clinic in the year preceding death, compared to 65.1% seen in mental health and 85.7% in primary care. Only 9.5% of Veterans who died from alcohol overdose received medication treatment for AUD and 24.8% received psychotherapy for AUD in the year preceding death., Conclusions: Alcohol overdose is increasing primarily related to overdoses involving opioids and other substances. Most patients did not receive any effective medication or psychotherapy treatments for AUD, suggesting further need to identify those at risk and to target treatment for this vulnerable group in healthcare settings., (Published by Elsevier B.V.)

Background: Alcohol misuse is a major health concern among military members. Reserve component members face unique barriers as they live off base with limited access to behavioral health services. Web and app-based brief interventions are a promising means to improve access to treatment for those who misuse alcohol, with the use of booster sessions to enhance effectiveness, solidify gains, and reinforce changes. However, little is known about who will engage in booster sessions., Objective: This study aims to evaluate booster engagement across booster delivery modalities (Web and Peer) and identify participant-specific factors associated with booster session engagement., Methods: Following a brief web-based alcohol misuse intervention in National Guard members (N=739), we examined engagement in a series of three booster sessions. Using unadjusted and adjusted models, demographic and clinical characteristics that may serve as predictors of booster session engagement were examined across the 2 arms of the trial with different types of booster sessions: peer-delivered (N=245) and web-delivered (N=246)., Results: Booster session completion was greater for Peer than Web Booster sessions, with 142 (58%) service members in the Peer Booster arm completing all three boosters compared with only 108 (44%) of participants in the Web Booster arm (χ 2 3 =10.3; P=.006). In a model in which the 2 groups were combined, socioeconomic factors predicted booster engagement. In separate models, the demographic and clinical predictors of booster engagement varied between the 2 delivery modalities., Conclusions: The use of peer-delivered boosters, especially among subsets of reserve members at risk of lack of engagement, may foster greater uptake and improve treatment outcomes., Trial Registration: ClinicalTrials.gov NCT02181283; https://clinicaltrials.gov/ct2/show/NCT02181283., (©Lara N Coughlin, Frederic C Blow, Maureen Walton, Rosalinda V Ignacio, Heather Walters, Lynn Massey, Kristen L Barry, Richard McCormick. Originally published in JMIR Mental Health (https://mental.jmir.org), 26.10.2021.)

Background: Recent trends show methamphetamine use is increasing in the United States. American Indian and Alaska Native (AI/AN) communities face health disparities compared to the population overall, including some of the highest rates of illegal drug use. Herein, we examined the prevalence of methamphetamine use among AI/ANs and characteristics associated with methamphetamine use among AI/AN people., Methods: We examined past-year methamphetamine use from 2015 to 2019 between AI/ANs and the general non-institutionalized U.S. population using the National Survey of Drug Use and Health. Then, we identify potential subgroups of AI/AN people at elevated risk of methamphetamine use across factors including demographic, social determinants, mental health, and co-occurring substance use., Results: A total of 214,505 people, aged 18 or older, were surveyed between 2015 and 2019; 3,075 (0.55%) identified as AI/AN. An estimated 26.2 out of every 1000 AI/ANs used methamphetamine compared to 6.8 out of every 1000 in the general U.S., Population: Compared to methamphetamine use in the general population, AI/AN methamphetamine use tends to cluster in rural areas and among those with low income. AI/ANs who use methamphetamine were more likely to be male, middle-aged, low income, have severe mental illness, and misuse other substances than AI/AN people who did not use methamphetamine., Discussion: AI/ANs experience a disproportionate amount of methamphetamine use in the U.S. To address this disparity, multifaceted, broad prevention, harm reduction, and treatment efforts are needed that leverage cultural strengths to mitigate the consequences of methamphetamine use., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Patients with cancer have played a key role in advocating for legal access to cannabis, but little is known about links between cancer and cannabis use or cannabis-related beliefs. The authors used data from a national survey to study these relationships., Methods: Nationally representative data collected by the National Survey on Drug Use and Health from 2015 to 2019 were acquired. Patterns of cannabis use and cancer history were examined and tested within age group subpopulations via domain analysis using survey weights., Results: Data for 214,505 adults, including 4741 individuals (3.8%) with past (>1 year ago) cancer diagnosis and 1518 individuals (1.2%) with recent (≤1 year ago) cancer diagnosis, were examined. Cannabis use was less common in those with past (8.9%; 95% CI, 8.0%-9.8%) or recent (9.9%; 95% CI, 6.9%-11.1%) cancer diagnosis than in those without a history of cancer (15.9%; 95% CI, 15.7%-16.1%). However, when analyses were stratified by age group, those 18 to 34 years of age were more likely to report past cannabis use, and those 35 to 49 years of age were more likely to report past or recent cannabis use if they had a history of cancer. Younger patients felt that cannabis was more accessible and less risky if they had a history of cancer., Conclusions: Patients with cancer were less likely to report cannabis use, but there were different cannabis perceptions and use patterns by age. Age should be considered in studies of cannabis and cancer, and policy initiatives may be needed to aid provision of quality information on cannabis risk to those with cancer., Lay Summary: Cannabis (marijuana) use is increasing in the United States, but we do not have much information on the relationship between cannabis use and cancer. We studied information from a representative group of people and found that younger patients generally reported more past and/or recent cannabis use if they had been diagnosed with cancer whereas older individuals did not. Beliefs about cannabis risk and accessibility differed by age. Clinical trials to study cannabis should account for patient age, and accurate information about cannabis should be provided to help patients with cancer make decisions about cannabis use., (© 2021 American Cancer Society.)

Background and Aims: Research from cohorts of individuals with recreational cannabis use indicates that cannabis withdrawal symptoms are reported by more than 40% of those using regularly. Withdrawal symptoms are not well understood in those who use cannabis for medical purposes. Therefore, we prospectively examined the stability of withdrawal symptoms in individuals using cannabis to manage chronic pain., Design, Setting, Participants: Using latent class analysis (LCA) we examined baseline cannabis withdrawal to derive symptom profiles. Then, using latent transition analysis (LTA) we examined the longitudinal course of withdrawal symptoms across the time points. Exploratory analyses examined demographic and clinical characteristics predictive of withdrawal class and transitioning to more or fewer withdrawal symptoms over time. A cohort of 527 adults with chronic pain seeking medical cannabis certification or re-certification was recruited between February 2014 and June 2015. Participants were recruited from medical cannabis clinic waiting rooms in Michigan, USA. Participants were predominantly white (82%) and 49% identified as male, with an average age of 45.6 years (standard deviation = 12.8)., Measurements: Baseline, 12-month and 24-month assessments of withdrawal symptoms using the Marijuana Withdrawal Checklist-revised., Findings: A three-class LCA model including a mild (41%), moderate (34%) and severe (25%) symptom class parsimoniously represented withdrawal symptoms experienced by people using medical cannabis. Stability of withdrawal symptoms using a three-class LTA at 12 and 24 months ranged from 0.58 to 0.87, with the most stability in the mild withdrawal class. Younger age predicted greater severity and worsening of withdrawal over time., Conclusions: Adults with chronic pain seeking medical cannabis certification or re-certification appear to experience mild to severe withdrawal symptoms. Withdrawal symptoms tend to be stable over a 2-year period, but younger age is predictive of worse symptoms and of an escalating withdrawal trajectory., (© 2021 Society for the Study of Addiction.)

Objective: Clinical practice guidelines recommend concurrent treatment of co-occurring depression and substance use disorders; however, the degree to which patients with substance use disorders receive guideline-concordant treatment for depression is unknown. The authors investigated the provision of guideline-concordant depression treatment to patients with and without substance use disorders in a large integrated health care system., Methods: In a retrospective cohort study of 53,034 patients diagnosed with a depressive disorder in fiscal year 2017 in the U.S. Veterans Health Administration, the authors assessed the association of comorbid substance use disorders with guideline-concordant depression treatment, including both medication and psychotherapy, while adjusting for patient demographic and clinical characteristics., Results: Guideline-concordant depression treatment was lower across metrics for patients with co-occurring depression and substance use disorders compared to those without substance use disorders. Consistent findings emerged in covariate-adjusted models of antidepressant treatment, such that patients with substance use disorders had 21% lower odds of guideline-concordant acute treatment (adjusted odds ratio=0.79, 95% CI=0.73, 0.84) and 26% lower odds of continuation of treatment (adjusted odds ratio=0.74, 95% CI=0.69, 0.79). With regard to psychotherapy, patients with co-occurring depression and substance use disorders had 13% lower odds (adjusted odds ratio=0.87, 95% CI=0.82, 0.91) of adequate acute-phase treatment and 19% lower odds (adjusted odds ratio=0.81; 95% CI=0.73, 0.89) of psychotherapy continuation., Conclusions: Despite the availability of effective treatments for depression, patients with co-occurring substance use disorders are less likely to receive guideline-concordant depression treatment. Efforts to improve the provision of care to those with co-occurring substance use disorders should focus on clinician-based interventions and use of integrated care models to improve the quality of depression treatment.

Background: Substance use among adolescents and emerging adults continues to be an important public health problem associated with morbidity and mortality. Mobile health (mHealth) provides a promising approach to deliver just-in-time adaptive interventions (JITAIs) to prevent escalation of use and substance use-related consequences., Objective: This pilot study aims to describe the iterative development and initial feasibility and acceptability testing of an mHealth smartphone app, called MiSARA, designed to reduce escalation in substance use., Methods: We used social media advertisements to recruit youth (n=39; aged 16-24 years, who screened positive for past-month binge drinking or recreational cannabis use) with a waiver of parental consent. Participants used the MiSARA app for 30 days, with feasibility and acceptability data reported at a 1-month follow-up. We present descriptive data regarding behavior changes over time., Results: The results show that most participants (31/39, 79%) somewhat liked the app at least, with most (29/39, 74%) rating MiSARA as 3 or more stars (out of 5). Almost all participants were comfortable with self-reporting sensitive information within the app (36/39, 92%); however, most participants also desired more interactivity (27/39, 69%). In addition, participants' substance use declined over time, and those reporting using the app more often reported less substance use at the 1-month follow-up than those who reported using the app less often., Conclusions: The findings suggest that the MiSARA app is a promising platform for JITAI delivery, with future trials needed to optimize the timing and dose of messages and determine efficacy., (©Lara N Coughlin, Inbal Nahum-Shani, Meredith L Philyaw-Kotov, Erin E Bonar, Mashfiqui Rabbi, Predrag Klasnja, Susan Murphy, Maureen A Walton. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 15.01.2021.)

Abbreviations: JITAI: Just-in-time adaptive intervention; ROC: receiver operating characteristic; AUC: area under the curve; MRT: micro-randomized trial.

The response to the COVID-19 crisis has created direct pressure on health care providers to deliver virtual care, and has created the opportunity to develop innovations in remote treatment for people with substance use disorders. Remote treatments provide an intervention delivery framework that capitalizes on technological innovations in remote monitoring of behaviors and can efficiently use information collected from people and their environment to provide personalized treatments as needed. Interventions informed by behavioral economic theories can help to harness the largely untapped potential of virtual care in substance use treatment. Behavioral economic treatments, such as contingency management, the substance-free activity session, and episodic future thinking, are positioned to leverage remote monitoring of substance use and to use personalized medicine frameworks to deliver remote interventions in the COVID-19 era and beyond., (Published by Elsevier Inc.)

Importance: Chronic pain is common in those with substance use disorders (SUDs) and predicts poorer addiction treatment outcomes. A critical challenge for addiction treatment is to develop effective methods to improve pain-related and substance use-related outcomes for those in treatment for SUDs., Objective: To examine the efficacy of an integrated behavioral pain management intervention (Improving Pain During Addiction Treatment [ImPAT]) for men and women with SUDs to treat pain, functioning, and substance use., Design, Setting, and Participants: In this randomized clinical trial, 8 sessions of ImPAT were compared with 8 sessions of a supportive psychoeducational control (SPC) condition for adults with pain treated at a large residential SUD treatment program. Follow-up occurred at 3, 6, and 12 months postbaseline. A total of 1372 adults were screened, including 960 men and 412 women, and 510 adults were randomized, including 264 men and 246 women. The goal was to recruit approximately equal numbers of men and women to examine results separately in men and women. A total of 470 of 510 participants (92.2%) completed at least 1 follow-up assessment. Data were collected from October 3, 2011, to January 14, 2016. Data were analyzed from February 1, 2016, to May 1, 2020., Interventions: ImPAT focused on how a psychosocial model of pain was associated with functioning and relapse prevention and provides skills to manage pain. SPC served as the active control condition and involved discussions of topics like nutrition and the course of addiction, which were intended to be relevant to the patient population and to have face validity but be distinct from the content of ImPAT., Main Outcomes and Measurements: The primary outcomes were pain intensity, pain-related functioning, and behavioral pain tolerance at 12 months. Secondary outcomes were frequency of alcohol and drug use over 12 months., Results: Of the 510 included participants, the mean (SD) age was 34.8 (10.3) years. A total of 133 men and 122 women were assigned to ImPAT, and a total of 131 men and 124 women were assigned to the SPC condition. Over 12 months of follow-up, randomization to the ImPAT intervention was associated with higher tolerance of pain among men, higher by a mean score of 0.11 (95% CI, 0.03 to 0.18; P = .004; Cohen d = 0.40) at 3 months and by 0.07 (95% CI, -0.01 to 0.19; P = .11; Cohen d = 0.25) at 12 months. Women receiving the ImPAT intervention experienced a reduction in pain intensity from 3 to 12 months, while women receiving the SPC condition experienced an increase in pain intensity, resulting in lower pain in the ImPAT condition by a mean score of 0.58 (95% CI, -0.07 to 1.22; P = .08; Cohen d = -0.22) at 12 months. No differences were found between the ImPAT and SPC conditions on alcohol or drug use., Conclusions and Relevance: Behavioral pain management is not typically included in addiction treatment, but the present results indicate that this type of intervention was associated with better pain-related outcomes, including pain tolerance in men and pain intensity in women. Improvements in substance use-related outcomes beyond that achieved by treatment as usual were not observed. Treatment programs should consider providing psychosocial pain management services to augment standard addiction treatment., Trial Registration: ClinicalTrials.gov Identifier: NCT01372267.

Aims: Most cigarette smokers want to quit smoking and more than half make an attempt every year, but less than 10% remain abstinent for at least 6 months. Evidence-based tobacco use treatment improves the likelihood of quitting, but more than two-thirds of individuals relapse when provided even the most robust treatments. Identifying for whom treatment is effective will improve the success of our treatments and perhaps identify strategies for improving current approaches., Methods: Two cohorts (training: N = 90, validation: N = 71) of cigarette smokers enrolled in group cognitive-behavioral therapy (CBT). Generalized estimating equations were used to identify baseline predictors of outcome, as defined by breath carbon monoxide and urine cotinine. Significant measures were entered as candidate variables to predict quit status. The resulting decision trees were used to predict cessation outcomes in a validation cohort., Results: In the training cohort, the decision trees significantly improved on chance classification of smoking status following treatment and at 6-month follow-up. The first split of all decision trees, which was delay discounting, significantly improved on chance classification rates in both the training and validation cohort. Delay discounting emerged as the single best predictor of group CBT treatment response with an average baseline discount rate of ln(k) = -7.1, correctly predicting smoking status of 80% of participants at posttreatment and 81% of participants at follow-up., Conclusions: This study provides a first step toward personalized care for smoking cessation though future work is needed to identify individuals that are likely to be successful in treatments beyond group CBT., Implications: This study provides a first step toward personalized care for smoking cessation. Using a novel machine-learning approach, baseline measures of clinical and executive functioning are used to predict smoking cessation outcomes following group CBT. A decision point is recommended for the single best predictor of treatment outcomes, delay discounting, to inform future research or clinical practice in an effort to better allocate patients to treatments that are likely to work., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The National Guard provides critical support both domestically and abroad with soldiers dispersed throughout America and spanning the urban-rural continuum. To determine if location-specific interventions may be needed, we compared the prevalence and severity of cannabis and alcohol use among National Guard members across localities., Methods: Michigan National Guard members were enrolled (N = 2,746) during drill weekends as part of a larger randomized behavioral trial. Cannabis (ASSIST; prevalence = 5%) and alcohol use (AUDIT; prevalence = 82%) were compared using hurdle regression models across locality status after adjusting for covariates., Findings: Prevalence of cannabis and alcohol use was predicted by locality (adjusted odds ratio [AOR] = 0.913, 95% CI: 0.838-0.986, P = .029; AOR = 0.963, 95% CI: 0.929-0.998, P = .038, respectively), with more use in urban localities. Neither severity of cannabis nor alcohol use was predicted by locality status., Conclusions: Prevalence of cannabis and alcohol use in the National Guard is differentially elevated across localities with higher prevalence in more central, densely populated areas. Findings may inform future work considering accessibility and utilization of prevention and treatment services for Guard members across the urban-rural continuum., (© 2019 National Rural Health Association.)

Introduction: Rural-urban differences in cigarette and cannabis use have traditionally shown higher levels of cigarette smoking in rural areas and of cannabis use in urban areas. To assess for changes in this pattern of use, we examined trends and prevalence of cigarette, cannabis, and co-use across urban-rural localities., Methods: Urban-rural trends in current cigarette and/or cannabis use was evaluated using 11 cohorts (2007-2017) of the National Survey on Drug Use and Health (NSDUH; N = 397,542). We used logistic regressions to model cigarette and cannabis use over time, adjusting for demographics (age, gender, race/ethnicity, income, education), in addition to assessing patterns of cannabis use among cigarette smokers and nonsmokers., Results: Despite decreases in cigarette smoking overall, between 2007 and 2017, the urban-rural disparity in cigarette smoking increased (AOR = 1.17), with less reduction in rural as compared to urban cigarette smokers. Cannabis use increased in general (AOR = 1.88 by 2017), with greater odds in urban than rural regions. Cannabis use increased more rapidly in non-cigarette smokers than smokers (AOR = 1.37 by 2017), with 219% greater odds of cannabis use in rural non-cigarette smokers in 2017 versus 2007., Conclusions: Rurality remains an important risk factor for cigarette smoking in adults and the fastest-growing group of cannabis users is rural non-cigarette smokers; however, cannabis use is currently still more prevalent in urban areas. Improved reach and access to empirically-supported prevention and treatment, especially in rural areas, along with dissemination and enforcement of policy-level regulations, may mitigate disparities in cigarette use and slow the increase in rural cannabis use., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Posttraumatic stress disorder (PTSD) and negative affect (e.g., anger, depression, anxiety), are highly co-occurring. It remains unclear whether changes in PTSD symptoms subsequently impact negative affect, or vice versa. This study assessed associations between moment-to-moment PTSD symptoms and negative affect in a sample of smokers with PTSD to determine directionality of this relationship., Methods: Participants (N = 125) enrolled in two smoking cessation studies with co-occurring PTSD and cigarette use completed measures of PTSD and negative affect. Ecological momentary assessment (EMA) methodology was used to record symptoms during a one-week baseline period, during which participants smoked ad lib. Cross-lagged path analyses assessed PTSD symptoms and negative affect for directionality of their relationship, controlling for whether an EMA reading was smoking or non-smoking. Path analyses examined the lagged associations between PTSD symptoms and negative affect., Results: Results found PTSD symptom severity at T-1 was significantly related to negative affect levels at time T, but negative affect at time T-1 was not associated with PTSD symptom severity at time T. Results indicated the model retaining the cross-lagged effect of PTSD symptom severity on negative affect provided better fit to the data than other models., Limitations: Limitations included use of self-report data, brief measures of symptoms, participants already had PTSD and/or MDD, participants were recruited from a specific clinical population, and use of DSM-IV data., Conclusions: Results suggest PTSD symptoms drive day-to-day fluctuations in negative affect, and highlight the importance of evaluating negative affect in the treatment of PTSD., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Aims: Compared to the general U.S. population, military veterans and those living in rural areas disproportionately smoke cigarettes at higher rates, leading to increased health consequences. In the current study, prevalence and severity of cigarette smoking in Iraq and Afghanistan era veterans was assessed across rural and urban areas and comorbid mental health disorders., Method: Iraq/Afghanistan era veterans who participated in the Post-Deployment Mental Health study from 2005 to 2017 (N = 3229) were cross-sectionally assessed for the probability of being a current cigarette smoker based on locality status and psychiatric comorbidity. Multivariate logistic and linear regressions, adjusted for demographic characteristics, were used to model the odds of being a current smoker and the severity of nicotine dependence, respectively., Results: Veterans residing in rural regions, veterans with psychiatric comorbidities, and the interaction of locality and psychiatric disorders were significantly associated with smoking rates. Those veterans living in extremely rural areas and, independently, those living with psychiatric comorbidities were also more severely dependent on nicotine compared to urban veterans and veterans without psychiatric conditions., Conclusions: Rural veterans and veterans with psychiatric comorbidities are at increased risk of smoking and are more severely dependent on nicotine than urban veterans. These findings underscore the need to reduce barriers for treatment both for smoking cessation and mental healthcare for veterans residing in the most rural areas., (Published by Elsevier Ltd.)