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

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

New Directions for Motivational Incentive Interventions for Smoking Cessation.

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.

Advances in clinical trials methodology: Intervention optimization approaches in emergency medicine.

The classical two-arm randomized clinical trial (RCT) is designed to test the efficacy or effectiveness of an intervention, which may consist of one or more components. However, this approach does not enable the investigator to obtain information that is important in intervention development, such as which individual components of the intervention are efficacious, which are not and possibly should be removed, and whether any components interact. The Multiphase Optimization Strategy (MOST) is a new framework for development, optimization, and evaluation of interventions. MOST includes the RCT for purposes of evaluation, but inserts a phase of research before the RCT aimed at intervention optimization. The optimization phase requires one or more separate trials similar in scope to an RCT, but employing a different experimental design. The design of the optimization trial is selected strategically so as to maximize the amount of scientific information gained using the available resources. One consideration in selecting this experimental design is the type of intervention to be optimized. If a fixed intervention, i.e. one in which the same intervention content and intensity is provided to all participants, is to be optimized, a factorial experiment is often appropriate. If an adaptive intervention, i.e. one in which intervention content or intensity is varied in a principled manner, is to be optimized, a sequential multiple-assignment randomized trial (SMART) is often a good choice. The objective of this article is to describe MOST and the scientific rationale for its use; describe two current applications of MOST in emergency medicine research, one using a factorial experiment and the other using a SMART; and discuss funding strategies and potential future applications in studying the care of individuals with acute illness, injury, or behavioral disorders.

Optimizing scalable, technology-supported behavioral interventions to prevent opioid misuse among adolescents and young adults in the emergency department: A randomized controlled trial protocol.

Preventing opioid misuse and opioid use disorder is critical among at-risk adolescents and young adults (AYAs). An Emergency Department (ED) visit provides an opportunity for delivering interventions during a rapidly changing opioid landscape. This paper describes pilot data and the protocol for a 2 × 2 factorial randomized controlled trial testing efficacy of early interventions to reduce escalation of opioid (prescription or illicit) misuse among at-risk AYAs. Interventions are delivered using technology by health coaches. AYAs ages 16-30 in the ED screening positive for prescription opioid use (+ ≥ 1 risk factor) or opioid misuse will be stratified by risk severity, sex, and age group. Participants will be randomly assigned to a condition at intake, either a live video health coach-delivered single session or a control condition of an enhanced usual care (EUC) community resource brochure. They are also randomly assigned to one of two post-intake conditions: health coach-delivered portal-like messaging via web portal over 30 days or EUC delivered at 30 days post-intake. Thus, the trial has four groups: health coach-delivered session+portal, health coach-delivered session+EUC, EUC + portal, and EUC + EUC. Outcomes will be measured at 3-, 6-, and 12-months. The primary outcome is opioid misuse based on a modified Alcohol Smoking and Substance Involvement Screening Test. Secondary outcomes include other opioid outcomes (e.g., days of opioid misuse, overdose risk behaviors), other substance misuse and consequences, and impaired driving. This study is innovative by testing the efficacy of feasible and scalable technology-enabled interventions to reduce and prevent opioid misuse and opioid use disorder. Trial Registration:ClinicalTrials.gov University of Michigan HUM00177625 NCT Registration: NCT04550715.

Perceived impacts of the COVID-19 pandemic on cannabis-using emerging adults.

Cannabis-using youth are a large epidemiologic subgroup whose age and smoking-related risks underscore the importance of examining the impact of the COVID-19 pandemic in this population. Within a clinical trial (n = 36 received an intervention prior to data collection reported herein), we surveyed cannabis-using emerging adults (ages 18-25) about perceived COVID-19 impacts. Participants (n = 141) reporting weekly cannabis use (M = 18.6 use days in the past 30) were enrolled and completed online surveys as part of either their baseline or 3 month assessment. COVID-19-related measures included symptoms, substance use, mood, etc. Participants were 57% female (mean age = 21, standard deviation = 2.2), with 21% Hispanic/Latinx, 70% White, 20% Black/African American, and 10% of other races. Most participants (86%) reported quarantine/self-isolation (M = 59 days). Several had COVID-19 symptoms (16%), but none reported testing COVID-19 positive. Many respondents felt their cannabis use (35%-50%, across consumption methods) and negative emotions (e.g., loneliness, stress, and depression; 69.5%, 69.5%, and 61.8%, respectively) increased. They reported decreased in-person socialization (90.8%) and job losses (23.4%). Reports of increased cannabis smoking were associated with increased negative emotions. On an open-response item, employment/finances and social isolation were frequently named negative impacts (33.3% and 29.4%, respectively). Although cannabis-using emerging adults' reports of increases in cannabis use, coupled with mental health symptoms and social isolation, are concerning, the full impact of the pandemic on their health and well-being remains unknown. Future studies examining the relationship between social isolation, mental health, and cannabis use among young people are needed.

Therapist and computer-based brief interventions for drug use within a randomized controlled trial: effects on parallel trajectories of alcohol use, cannabis use and anxiety symptoms.

BACKGROUND AND AIMS: Despite their high comorbidity, the effects of brief interventions (BI) to reduce cannabis use, alcohol use and anxiety symptoms have received little empirical attention. The aims of this study were to examine whether a therapist-delivered BI (TBI) or computer-guided BI (CBI) to address drug use, alcohol consumption (when relevant) and HIV risk behaviors, relative to enhanced usual care (EUC), was associated with reductions in parallel trajectories of alcohol use, cannabis use and anxiety symptoms, and whether demographic characteristics moderated reductions over time. DESIGN: Latent growth curve modeling was used to examine joint trajectories of alcohol use, cannabis use and anxiety symptoms assessed at 3, 6 and 12 months after baseline enrollment. SETTING: Hurley Medical Center Emergency Department (ED) in Flint, MI, USA. PARTICIPANTS: The sample was 780 drug-using adults (aged 18-60 years; 44% male; 52% black) randomly assigned to receive either a TBI, CBI or EUC through the HealthiER You study. INTERVENTIONS AND COMPARATOR: ED-delivered TBI and CBIs involved touchscreen-delivered and audio-assisted content. The TBI was administered by a Master's-level therapist, whereas the CBI was self-administered using a virtual health counselor. EUC included a review of health resources brochures in the ED. MEASUREMENTS: Assessments of alcohol use (10-item Alcohol Use Disorders Identification Test), cannabis use (past 30-day frequency) and anxiety symptoms (Brief Symptom Inventory-18) occurred at baseline and 3-, 6- and 12-month follow-up. FINDINGS: TBI, relative to EUC, was associated with significant reductions in cannabis use [B = -0.49, standard error (SE) = 0.20, P < 0.05) and anxiety (B = -0.04, SE = 0.02, P < 0.05), but no main effect for alcohol use. Two of 18 moderation tests were significant: TBI significantly reduced alcohol use among males (B = -0.60, SE = 0.19, P < 0.01) and patients aged 18-25 years in the TBI condition showed significantly greater reductions in cannabis use relative to older patients (B = -0.78, SE = 0.31, P < 0.05). Results for CBI were non-significant. CONCLUSIONS: Emergency department-based therapist-delivered brief interventions to address drug use, alcohol consumption (when relevant) and HIV risk behaviors may also reduce alcohol use, cannabis use and anxiety over time, accounting for the overlap of these processes.

Changes in urban and rural cigarette smoking and cannabis use from 2007 to 2017 in adults in the United States.

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.

State of the science: a scoping review of primary prevention of firearm injuries among children and adolescents.

Intentional and unintentional firearm injury is the second leading cause of death for youth, underscoring the need for effective primary prevention approaches that focus on increasing safe storage by caregivers and decreasing handling/carriage among youth. This article describes the state of the science for prevention of firearm injuries among children and adolescents. We applied PRISMA guidelines to present results from a scoping review using PubMed, Scopus, CINAHL, and CJ Abstracts for original research articles published between January 1, 1985 and March 1, 2018 in the U.S. focusing on primary screening or interventions for primary prevention of pediatric firearm injuries. In total, 46 articles met inclusion criteria: safe storage (23), screening (2), firearm handling/carriage/use (21). Across school, healthcare, and community settings, few evidenced-based programs exist, and data on firearm safety technologies are lacking. Programs have generally not employed rigorous designs, and/or assessed behavioral (e.g., carriage) or injury-related firearm outcomes. Evidenced-based prevention programs are needed to mitigate firearm morbidity and mortality among youth.

Predictors of empirically derived substance use patterns among sexual minority groups presenting at an emergency department.

AIM: Minority sexual orientation (i.e., Lesbian, Gay, Bisexual; LGB) is a risk indicator for mental health and substance use problems. Findings are inconsistent across studies investigating LGB substance use and risk factors, possibly due to heterogeneity in LGB subgroups. To inform models of substance use risk, we identified empirical patterns of substance use and related risk behaviors among LGB individuals. METHOD: LGB participants (N = 343; Mage = 35.5, SD = 11.8; 71.4% = Female; 80.5% = White) were screened in an Emergency Department as part of a randomized controlled trial of an alcohol brief intervention. We conducted latent class analyses using the AUDIT-C (12 month; frequency, quantity, & binge) and ASSIST (12 month; illicit or misused prescription substance). Multinomial regression was performed to test predictors of class membership including depression symptoms, driving after alcohol or marijuana, and sexually transmitted infection (STI) history. RESULTS: A 3-class model fit best and included "low use alcohol, marijuana, and tobacco users," (Low use; n = 244) "hazardous alcohol, tobacco and marijuana users," (Hazardous; n = 74) and "high-risk polysubstance users" (HPU; n = 25). The Low use class comprised the largest proportion of the sample across age, race/ethnicity, and sexual orientation. Compared to the Low use class, higher likelihood of depression symptoms, driving after alcohol or marijuana use, and STI was found for both Hazardous and HPU classes. CONCLUSION: Researchers and clinicians should consider substance use patterns within the LGB population to inform interventions that address a variety of complex needs such as allocating more support for LGB individuals endorsing high-risk polysubstance use.

Predictors of alcohol use transitions among drug-using youth presenting to an urban emergency department.

BACKGROUND: Precipitants of alcohol use transitions can differ from generalized risk factors. We extend prior research by predicting transitions in alcohol use disorder (AUD) during adolescence and emerging adulthood. METHODS: From 12/2009-9/2011, research assistants recruited 599 drug-using youth age 14-24 from Level-1 Emergency Department in Flint, Michigan. Youth were assessed at baseline and four biannual follow-ups, including a MINI Neuropsychiatric interview to diagnose AUD (abuse/dependence). We modeled AUD transitions using continuous time Markov Chains with transition probabilities modulated by validated measures of demographics, anxiety/depression symptoms, cannabis use, peer drinking, parental drinking, and violence exposure. Separate models were fit for underage (<21) and those of legal drinking age. RESULTS: We observed 2,024 pairs of consecutive AUD states, including 264 transitions (119 No-AUD→AUD; 145 AUD→No-AUD); 194 (32.4%) individuals were diagnosed with AUD at ≥1 assessment. Among age 14-20, peer drinking increased AUD onset (No-AUD→AUD transition) rates (Hazard ratio-HR = 1.70; 95%CI: [1.13,2.54]), parental drinking lowered AUD remission (AUD→No-AUD transition) rates (HR = 0.53; 95%CI: [0.29,0.97]), and cannabis use severity both hastened AUD onset (HR = 1.18; 95%CI: [1.06,1.32]) and slowed AUD remission (HR = 0.85; 95%CI: [0.76,0.95]). Among age 21-24, anxiety/depression symptoms both increased AUD onset rates (HR = 1.35; 95%CI: [1.13,1.60]) and decreased AUD remission rates (HR = 0.74; 95%CI: [0.63,0.88]). Friend drinking hastened AUD onset (HR = 1.18, 95%CI: [1.05,1.33]), and slowed AUD remission (HR = 0.84; 95%CI: [0.75,0.95]). Community violence exposure slowed AUD remission (HR = 0.69, 95%CI: [0.48,0.99]). In both age groups, males had >2x the AUD onset rate of females, but there were no sex differences in AUD remission rates. Limitations, most notably that this study occurred at a single site, are discussed. CONCLUSIONS: Social influences broadly predicted AUD transitions in both age groups. Transitions among younger youth were predicted by cannabis use, while those among older youth were predicted more by internalizing symptoms and stress exposure (e.g., community violence). Our results suggest age-specific AUD etiology, and contrasts between prevention and treatment strategies.

Acceptability of nonabstinent treatment outcome goals among addiction treatment providers in Ukraine.

We examined whether acceptability of nonabstinence treatment outcome goals varied as a function of a patient's severity of diagnosis (ICD-10 harmful use vs. dependence syndrome; World Health Organization, 1992), finality of outcome goal (intermediate vs. final), and type of substance (e.g., tobacco, alcohol, cannabis), among addiction treatment providers in Ukraine. We surveyed 44% of Ukrainian treatment providers (n = 446/1023; Mage = 40.4, SD = 8.6; Male = 67%; MYears Of Experience = 10.2, SD = 7.2). For tobacco use, most respondents (78%-93%) rated nonabstinence as acceptable, regardless of diagnostic severity or finality of outcome goal (i.e., intermediate, final). Most respondents also rated nonabstinence as acceptable as an intermediate or final goal for patients with harmful use of alcohol (70% to 86%) or cannabis (71% to 93%); however, nonabstinence was less commonly indicated by respondents as an intermediate goal for patients with a dependence syndrome (alcohol = 52%; cannabis = 68%). Regarding other drug use, although most rated nonabstinence acceptable as an intermediate goal for patients with harmful use of opioids (68%) or sedatives (64%), fewer rated nonabstinence acceptable as a final goal (26% to 33%), particularly for patients with a dependence syndrome (10% to 27%). Very few providers (5% to 15%) rated nonabstinence acceptable for other substances. Patients in Ukraine who wish to moderate cannabis or tobacco use will find that their provider is typically accepting of this goal; however, providers are mixed regarding whether alcohol and opioid moderation is appropriate, particularly for those with dependence. Findings support education and research efforts to better understand how provider and patient alignment regarding goals impact patient outcomes following substance use treatment in Ukraine. (PsycINFO Database Record

Utility of the comprehensive marijuana motives questionnaire among medical cannabis patients.

BACKGROUND: Little is known about motives for cannabis use among the population of adults using cannabis medically. Therefore, we evaluated the performance of the 12 factor, 36-item Comprehensive Marijuana Motives Questionnaire (CMMQ) among a sample of medical cannabis patients. METHODS: Study participants were adults ages 21years or older with scheduled appointments to obtain new or renewed medical cannabis certification from clinics in one Midwestern state (n=1116). Confirmatory factor analysis was used to evaluate properties of the CMMQ. Multiple regressions were used to estimate associations between motives and cannabis use, physical health functioning, and mental health functioning. RESULTS: Fit indices were acceptable, and factor loadings ranged from 0.57 to 0.94. Based on regression analyses, motives accounted for 7% of the variance in recent cannabis use, and independent of cannabis use, accounted for 5% and 19% of physical and mental health functioning, respectively. Regression analyses also revealed that distinct motives were associated with cannabis use and physical and mental health functioning. CONCLUSIONS: Among adults seeking medical cannabis certification, the factor structure of the CMMQ was supported, and consistent with prior studies of adolescents and young adults using cannabis recreationally. Thus, individuals who use cannabis medically may have diverse reasons for use that extend beyond the management of medical symptoms. In addition, coping and sleep-related motives may be particularly salient for this population. Findings support the utility of the CMMQ in future research on medical cannabis use; however, expansion of the scale may be needed to address medical motives for use.

Overdose and adverse drug event experiences among adult patients in the emergency department.

INTRODUCTION: Overdose is a leading cause of injury and death in the United States. Emergency Department (ED) patients have an elevated prevalence of substance use. This study describes overdose/adverse drug event experiences among adult ED patients to inform strategies to address overdose risk. METHODS: Patients seeking care at a large ED in the city of Flint, Michigan participated in a computerized self-assessment during 2011-2013 (n=4571). Overdose was assessed with a broad definition and included occurrences that could be considered adverse drug events. Among those with this type of experience, additional items assessed symptoms, outcomes, and intent. RESULTS: 12% reported an overdose history. Of participants' most serious overdoses, 74% were without clear intent for self-harm, although this was true of only 61% of overdoses involving opiates or sedatives, and 52% had symptoms present that indicated that it was life-threatening. Binge drinking on a monthly basis (ORs=1.4) was associated with a medically serious overdose compared to never having an overdose. Compared to no drug use in the last year, use of one drug was associated with an OR of 1.8, two drugs was associated with an OR of 5.8, three drugs was associated with an OR of 8.4, and four or more drugs was associated with an OR of 25.1 of having had a medically serious overdose (all p<0.05). CONCLUSIONS: Most overdose experiences among ED patients were without clear intent of self-harm. The ED may be an appropriate setting for efforts to reduce overdose risk, especially among polysubstance users.

Daily associations between cannabis motives and consumption in emerging adults.

BACKGROUND: Increasing rates of cannabis use among emerging adults is a growing public health problem. Intensive longitudinal data can provide information on proximal motives for cannabis use, which can inform interventions to reduce use among emerging adults. METHOD: As part of a larger longitudinal study, patients aged 18-25 years (N=95) recruited from an urban Emergency Department completed daily text message assessments of risk behaviors for 28days, including daily cannabis quantity and motives. Using a mixed effects linear regression model, we examined the relationships between daily quantity of cannabis consumed and motives (i.e., enhancement, social, conformity, coping, and expansion). RESULTS: Participants were, on average, 22.0 years old (SD=2.2); 48.4% were male, 45.3% were African American, and 56.8% received public assistance. Results from the multi-level analysis (clustering day within individual), controlling for gender, race, and receipt of public assistance, indicated daily use of cannabis use for enhancement (ß=0.27), coping (ß=0.15), and/or social motives (ß=0.34) was significantly associated with higher quantities of daily cannabis use; whereas expansion and conformity motives were not. CONCLUSIONS: Daily data show that emerging adults who use cannabis for enhancement, social, and coping motives reported using greater quantities of cannabis. Future research should examine more comprehensive cannabis motives (e.g., boredom, social anxiety, sleep) and test tailored interventions focusing on alternative cognitive/behavioral strategies to address cannabis motives.

Marijuana use trajectories among drug-using youth presenting to an urban emergency department: Violence and social influences.

AIMS: This paper examined longitudinal marijuana use trajectories among drug-using youth presenting to the ED to inform intervention development. METHODS: Given interest in substance use and violence, this study oversampled those presenting with assault injuries. Assault-injured youth (ages 14-24) endorsing past 6-month drug use (n=349), and a sex and age proportionally-sampled comparison group (n=250) endorsing drug use, completed a baseline assessment and follow-ups at 6, 12, 18, and 24 months. Latent class trajectory analyses examined days of marijuana use over 2 years. Multinomial regression analyses examined baseline, 12-month and 24-month factors associated with substance use trajectory groups. RESULTS: Trajectory analyses identified 5 groups: Low (Low; 28.2%; n=169); Intermittent (INT; 16.2%; n=97); Moderate Decline (MD; 12.0%; n=72); High decline (HD, 13.2%; n=79) and Chronic (C; 30.4%; n=182). At baseline, as compared to the Low group, the other trajectory groups were more likely to be male and have greater levels of physical aggression. At 12- and 24-months, negative and positive peer influences, incarceration and community violence were additional characteristics associated with the greater marijuana use trajectories (as compared to the Low group). CONCLUSIONS: Interventions for drug-using youth presenting to the urban ED should address peer influences, physical aggression and community violence exposure, given the association between these characteristics and greater marijuana use trajectories.

Marijuana and other substance use among male and female underage drinkers who drive after drinking and ride with those who drive after drinking.

The study sought to describe the occurrence of adolescent driving after drinking (DD) and riding with a driver who had been drinking (RWDD) and associations with substance use for both males and females. As part of screening for a randomized controlled trial, we surveyed 16-20year olds (N=3418) recruited from an emergency department (ED) and analyzed data from those reporting past-year alcohol consumption (n=2150, 58% females). DD was reported by 22% of females and 28% of males and RWDD was reported by 39% of females and 38% of males, also in the past year. In regression models, risky alcohol use and past-year marijuana use were associated with increased odds of DD and RWDD for females and males. Marijuana use was a strong predictor, with odds increased by 2.3 and 1.7 times for DD among females and males respectively and 1.4 times for RWDD for females and males. Prescription drug misuse was also associated with RWDD for females and for both males' and females' reported DD. The findings highlight the alarming rate of DD and RWDD among both males and females and suggest ED-based injury prevention efforts consider such risky road behavior as well as consider their substance use. Future research might also further examine the effects of driving under influence of substances, particularly marijuana, and the negative synergistic effects of co-ingestion prior to driving.

Substance Use as a Risk Factor for Sleep Problems Among Adolescents Presenting to the Emergency Department.

OBJECTIVES: To determine correlates of sleep problems among adolescents. Specifically, to assess the relative strength of associations between sleep problems and dating victimization, reasons for emergency department (ED) visit, depression, unhealthy alcohol use, and other drug use (marijuana, nonmedical use of prescription opioids, stimulants, and tranquilizers). METHODS: A total of 1852 adolescents aged 14 to 20 years presenting for care to the University of Michigan Emergency Department, Ann Arbor, Michigan, during 2011-2012, self-administered a computerized health survey. Sleep problems were identified if any of the 4 items on the Sleep Problems Questionnaire were rated by a patient as greater than 3 on a 0 to 5 scale. Adolescents who were too sick to be screened in the ED were eligible to participate in the study during their inpatient stay. Exclusion criteria for baseline included insufficient cognitive orientation precluding informed consent, not having parent/guardian present if younger than 18 years, medical severity precluding participation, active suicidal/homicidal ideation, non-English-speaking, deaf/visually impaired, or already participated in this study on a prior visit. RESULTS: 23.5% of adolescents reported clinically significant sleep problems. Female gender, depression, dating victimization, tobacco use, nonmedical use of prescription medication, and an ED visit for medical reasons were each associated with sleep problems among adolescents, even while controlling for age, other types of drug use, receiving public assistance, and dropping out of school. CONCLUSIONS: These exploratory findings indicate that ED-based screening and brief intervention approaches addressing substance use and/or dating victimization may need to account for previously undiagnosed sleep problems.

Underage drinking, brief interventions, and trauma patients: Are they really special?

BACKGROUND: While the relationship between underage drinking and injury has been well established, few studies have examined whether presenting for an acute injury moderates the efficacy of a brief intervention (BI) on alcohol misuse. METHODS: Patients (aged 14-20 years) in the emergency department screening positive for risky drinking (Alcohol Use Disorders Identification Test-Consumption score) completed a baseline assessment, were randomized to conditions (a standalone computer-delivered BI [n = 277], a therapist-delivered BI [n = 278], or a control condition [n = 281]), and completed a 3-month follow-up. This secondary analysis of Project U-Connect examined regression models (controlling for baseline values) to examine the main effects of injury and the interaction effects of injury by BI condition on alcohol consumption and consequences. RESULTS: Among 836 youth enrolled in the randomized controlled trial (mean age, 18.6 years; 51.6% were male; 79.4% were white), 303 (36.2%) had a primary complaint of intentional or unintentional injury. At baseline, injured patients were more likely to be male (p < 0.001) and have higher alcohol consumption (p < 0.01), but were less likely to misuse prescription drugs (p = 0.02) than those presenting for medical reasons. Regression models (controlling for baseline values) demonstrated that injury presentation predicted greater alcohol consumption prior to a BI. The computer BI was more effective at reducing alcohol consequences among those presenting with injury than those presenting for other reasons. Injury did not affect the efficacy of the computer BI on alcohol consumption, and injury did not affect the efficacy of the therapist BI on alcohol outcomes. CONCLUSIONS: A therapist or computer BI reduced alcohol consumption and consequences among risky drinkers regardless of reason for emergency department presentation highlighting the opportunity to reach a broad array of youth. Although the therapist BI was not moderated by injury presentation, the computer BI was particularly effective at reducing alcohol consequences among those presenting with injury at 3-month follow-up. LEVEL OF EVIDENCE: Therapeutic/care management study, level III.

A randomized controlled trial testing the efficacy of a brief cannabis universal prevention program among adolescents in primary care.

AIMS: To examine the efficacy of a brief intervention delivered by a therapist (TBI) or a computer (CBI) in preventing cannabis use among adolescents in urban primary care clinics. DESIGN: A randomized controlled trial comparing: CBI and TBI versus control. SETTING: Urban primary care clinics in the United States. PARTICIPANTS: Research staff recruited 714 adolescents (aged 12-18 years) who reported no life-time cannabis use on a screening survey for this study, which included a baseline survey, randomization (stratified by gender and grade) to conditions (control; CBI; TBI) and 3-, 6- and 12-month assessments. MEASUREMENTS: Using an intent-to-treat approach, primary outcomes were cannabis use (any, frequency); secondary outcomes included frequency of other drug use, severity of alcohol use and frequency of delinquency (among 85% completing follow-ups). FINDINGS: Compared with controls, CBI participants had significantly lower rates of any cannabis use over 12 months (24.16%, 16.82%, respectively, P < 0.05), frequency of cannabis use at 3 and 6 months (P < 0.05) and other drug use at 3 months (P < 0.01). Compared with controls, TBI participants did not differ in cannabis use or frequency, but had significantly less other drug use at 3 months (P < 0.05), alcohol use at 6 months (P < 0.01) and delinquency at 3 months (P < 0.01). CONCLUSIONS: Among adolescents in urban primary care in the United States, a computer brief intervention appeared to prevent and reduce cannabis use. Both computer and therapist delivered brief interventions appeared to have small effects in reducing other risk behaviors, but these dissipated over time.

Firearm possession among adolescents presenting to an urban emergency department for assault.

BACKGROUND AND OBJECTIVES: Firearm violence is a leading cause of death among youth. The objectives of this study were (1) determine firearm possession rates and associated correlates among youth seeking care for assault in an emergency department (ED); (2) understand differences in risk factors for youth with firearm possession; and (3) identify firearm possession characteristics in this population: type, reason for possession, and source of firearms. METHODS: Youth (14 to 24 years old) presenting to a Level 1 ED with assault were administered a computerized screening survey. Validated instruments were administered, measuring demographics, firearm rates and characteristics, attitudes toward aggression, substance use, and previous violence history. RESULTS: Among 689 assault-injured youth, 23% reported firearm possession in the past 6 months. Only 17% of those reporting firearm possession obtained the gun from a legal source; 22% reported ownership of highly lethal automatic/semiautomatic weapons and 37.1% reported having a firearm for protection. Logistic regression analysis identified significant correlates of firearm possession, including male gender, higher socioeconomic status, illicit drug use, recent serious fight, and retaliatory attitudes. CONCLUSIONS: ED assault-injured youth had high rates of firearm possession (23.1%), most of which were not obtained from legal sources. Youth with firearm possession were more likely to have been in a recent serious fight, and to endorse aggressive attitudes that increase their risk for retaliatory violence. Future prevention efforts should focus on minimizing illegal firearm access among high-risk youth, nonviolent alternatives to retaliatory violence, and substance use prevention.