An International, Multidisciplinary Consensus Set of Patient-Centered Outcome Measures for Substance-Related and Addictive Disorders.

Background: In 1990, the United States' Institute of Medicine promoted the principles of outcomes monitoring in the alcohol and other drugs treatment field to improve the evidence synthesis and quality of research. While various national outcome measures have been developed and employed, no global consensus on standard measurement has been agreed for addiction. It is thus timely to build an international consensus. Convened by the International Consortium for Health Outcomes Measurement (ICHOM), an international, multi-disciplinary working group reviewed the existing literature and reached consensus for a globally applicable minimum set of outcome measures for people who seek treatment for addiction. Methods: To this end, 26 addiction experts from 11 countries and 5 continents, including people with lived experience (n = 5; 19%), convened over 16 months (December 2018-March 2020) to develop recommendations for a minimum set of outcome measures. A structured, consensus-building, modified Delphi process was employed. Evidence-based proposals for the minimum set of measures were generated and discussed across eight videoconferences and in a subsequent structured online consultation. The resulting set was reviewed by 123 professionals and 34 people with lived experience internationally. Results: The final consensus-based recommendation includes alcohol, substance, and tobacco use disorders, as well as gambling and gaming disorders in people aged 12 years and older. Recommended outcome domains are frequency and quantity of addictive disorders, symptom burden, health-related quality of life, global functioning, psychosocial functioning, and overall physical and mental health and wellbeing. Standard case-mix (moderator) variables and measurement time points are also recommended. Conclusions: Use of consistent and meaningful outcome measurement facilitates carer-patient relations, shared decision-making, service improvement, benchmarking, and evidence synthesis for the evaluation of addiction treatment services and the dissemination of best practices. The consensus set of recommended outcomes is freely available for adoption in healthcare settings globally.

Electronic Nicotine Delivery Systems (ENDS) use Among Members of a Community Engagement Program.

Electronic nicotine delivery systems (ENDS) are relatively new and ENDS use data from community engagement programs may help us understand usage patterns and facilitate targeted longitudinal studies. Community members in Florida, USA, were asked about ENDS use, tobacco use, and health history/concerns by Community Health Workers. Among 7253 members recruited during 2014 to 2021 into our HealthStreet program, 1177 had ever used ENDS; the proportion increased from 12 to 27% from 2014 to 2021 (adjusted odds ratio (aOR) 2.5; 95% CI 1.7-3.5; Ever versus never used ENDS). Ever tobacco use was strongly associated with ENDS use; 69% of ever users were current tobacco users. Demographic determinants (sex, age, race) and food insecurity were strongest predictors of ENDS use. Most who had ever used ENDS were aged 18-25 (aOR 5.9; 95% CI 4.6-7.6; vs. aged 60 + years), White (aOR 3.7; 95% CI 3.2-4.3; vs. Black/African American), male (aOR 1.5; 95% CI 1.3-1.7; vs. female), and recently food insecure (aOR 1.8; 95% CI 1.5-2.0; vs. not recently food insecure). Those with respiratory issues were more likely to have used ENDS compared to those without (aOR 2.0; 95% CI 1.6-2.6; aOR 1.3; 95% CI 1.1-1.5). Members concerned about hypertension were less likely to have used ENDS (aOR 0.7; 95% CI 0.5-0.9). In this relatively rural, micropolitan sample, tobacco use, socio-economic determinants, and certain health history/concerns were strongly associated with ENDS use. Community outreach approaches are needed to further understand these factors and implement interventions.

Test-retest reliability of a new assessment to detect detailed temporal patterns of polysubstance use.

OBJECTIVE: While polysubstance use is highly prevalent among people who use drugs, the field lacks a reliable assessment that can detect detailed temporal patterns of polysubstance use. This study assessed the test-retest reliability of the newly developed Polysubstance Use-Temporal Patterns Section (PSU-TPS). METHODS: Participants who used cocaine plus alcohol and/or marijuana at least once in the past 30 days (n = 48) were interviewed at baseline and approximately 7 days later (retest) using the Substance Abuse Module and the PSU-TPS. Reliability of PSU-TPS measures of quantity, frequency, and duration of polysubstance use was examined using intra-class correlation coefficients (ICCs) and kappa tests. RESULTS: Excellent reliability was observed for frequencies of concurrent polysubstance use patterns in the past 30 days (ICC range: 0.90-0.94) and quantity of alcohol use (ICC = 0.83), and fair to good reliability was observed for duration of substance use (ICC range: 0.52-0.73). CONCLUSION: Detailed information regarding cocaine, alcohol, and marijuana polysubstance use in the past 30 days can be reliably measured with the PSU-TPS. Data on the order and timing of polysubstance use at the hourly level will improve our understanding of the implications of sequential and simultaneous use patterns, which can help inform treatment and prevention efforts.

The HealthStreet Cancer Survivor Cohort: a Community Registry for Cancer Research.

PURPOSE: This report describes a cancer survivor cohort from a community engagement program and compares characteristics and willingness to participate in health research between the cancer survivors and non-cancer community members. METHODS: Among 11,857 members enrolled in HealthStreet at the University of Florida (10/2011-03/2020), 991 cancer survivors were identified and 1:1 matched to control members without cancer on sex, age, and zip code. Demographics, body weight, height, social determinants of health, history of cancer, and willingness to participate in research were recorded by Community Health Workers as a part of the baseline Health Needs Assessment. RESULTS: Among the cancer survivors, 71.6% were female and 19.2% lived in rural areas with a mean age of 56.7 years in females and 60.8 years in males. At baseline, 44.7% received a cancer diagnosis within 5 years, while 15.8%, more than 20 years. Cancer survivors (vs. matched non-cancer controls) were less likely to be Black (31.1% vs. 63.6%) but more likely to be divorced, separated, or widowed (49.5% vs. 41.2%), be normal/underweight (34.0% vs. 25.6%) and have health insurance (80.0% vs. 68.6%; all p < 0.05). Cancer survivors versus matched controls reported higher rates of ever being in a health research study (32.4% vs. 24.9%) and interest in participating in studies ranging from minimal risk to greater-than-minimal risk. CONCLUSIONS: Cancer survivors from this community engagement program agnostic to cancer types and treatment are diverse in geography, race, and social determinants of health and can be a valuable resource for observational, interventional, and biospecimen research in cancer survivorship.

Kratom Use Among U.S. Adolescents: Analyses of the 2019 National Survey on Drug Use and Health.

BACKGROUND: Kratom (Mitragyna speciosa) is an opioid-like psychoactive substance not approved by the U.S. Food and Drug Administration that could be used due to its euphoric, stimulant, and analgesic effects. Kratom is gaining popularity in the U.S. and becoming a reason of concern among pediatricians. METHODS: Data from the 2019 National Survey on Drug Use and Health were analyzed to estimate the prevalence and identify correlates of lifetime and past 12-month kratom use among 13,397 U.S. adolescents. Multivariable logistic regression models were conducted to assess the associations of interest. RESULTS: Lifetime and past 12-month prevalence of kratom use was .44% (95% confidence interval [CI] .32-.60) and .27% (95% CI .18-.40), respectively. Past 12-month cigarette use was associated with lifetime kratom use (adjusted odds ratio 2.60, 95% CI 1.07-6.35). Past 12-month cannabis use was associated with past 12-month kratom use (adjusted odds ratio 2.48, 95% CI 1.15-5.35). CONCLUSIONS: This first report on the epidemiology of adolescent kratom use provides a baseline to assess kratom use trends in future years and identify potential correlates of use among adolescents.

Identification of Typologies of Cocaine Use Based on Quantity, Frequency, and Duration of Use: A Latent Profile Analysis.

OBJECTIVES: We identified the patterns of cocaine use during individuals' heaviest use period by considering quantity, frequency, and duration simultaneously and examined the correlates and risk profile for these patterns. METHODS: Latent profile analysis was conducted among the 3117 individuals who reported lifetime use of cocaine in the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) with quantity, frequency, and duration used as indicators. Logistic regression analyses examined factors associated with subtype membership based on patterns of cocaine use and the relationships between these patterns and cocaine use disorder (CocUD) and its severity. RESULTS: Four patterns were identified: a "low use" class (72.6%), a "moderate use" class (8.2%), a "daily use" class (17.9%), and a "very high quantity use" class (1.3%). Relative to non-Hispanic White and the "low use" class, non-Hispanic Black was associated with increased odds to be in the "moderate use" and "daily use" classes. Higher prevalence of smoking crack cocaine and poly-route use was observed among the "very high quantity use" class relative to other classes; increased risk of using other substances was associated with the "daily use" class. Higher levels of cocaine use were associated with higher risks of CocUD and worse severity compared to the "low use" class. CONCLUSIONS: People who use cocaine are heterogeneous with different patterns of use and risks of CocUD. Reducing cocaine smoking and poly-route of use should be placed as the same priority as decreasing very high quantity of use in interventions.

Perceived Risk of Weekly Cannabis Use, Past 30-Day Cannabis Use, and Frequency of Cannabis Use Among Pregnant Women in the United States.

BACKGROUND: While accumulated evidence has shown that the prevalence of cannabis use among pregnant women in the US has increased in recent years, little is known about the specific subpopulations affected. The aim of this study was to estimate the prevalence and correlates of the perceived risk of weekly cannabis use, past 30-day cannabis use, and frequency of past 30-day cannabis use among US pregnant women. METHODS: We analyzed data from 2,247 pregnant women 14 to 44 years of age surveyed in the 2015 to 2017 cross-sectional National Survey on Drug Use and Health. Analyses account for the sampling design. Primary outcomes included perceived risk of weekly cannabis use, past 30-day cannabis use, and frequency of cannabis use. We conducted multivariable logistic and negative binomial regression models to assess the associations between the primary outcomes and multiple correlates. RESULTS: Among US pregnant women, 21.6% (95% CI=19.4, 23.8) did not perceive any risk associated with weekly cannabis use, 5.3% (95% CI=4.2, 6.5) used cannabis in the past 30 days, and among past-month users, the average number of days of use was 15.6 (95% CI=13.5, 17.7). Pregnant women living below the poverty line were both more likely to perceive no risk of weekly cannabis use (aOR=1.8; 95% CI=1.3, 2.5) and use cannabis more often in the past 30 days (aOR=2.9; 95% CI=1.5, 5.7) than pregnant women within an income bracket of more than two times the federal poverty threshold. Age, race, trimester of pregnancy, co-use of tobacco and/or alcohol were also associated with these outcomes. CONCLUSION: Younger age, living in poverty, early trimester of pregnancy, and co-use of tobacco and/or alcohol increased the odds of cannabis use among pregnant women. As cannabis legalization spreads and cannabis use is increasingly perceived as safe, there is a growing need for research to determine the reasons why women in the identified at-risk subgroups are using cannabis during pregnancy.

Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study.

Aim: To examine individual variability between perceived physical features and hormones of pubertal maturation in 9-10-year-old children as a function of sociodemographic characteristics. Methods: Cross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study-a multi-site sample of 9-10 year-olds (n = 11,875)-and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels. Results: PDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child's weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample. Conclusions: Sociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9-10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

Sex differences in prescription opioid use patterns assessed through a community engagement program in Florida.

BACKGROUND: Morbidity and mortality attributed to prescription opioids are a crisis in the US and spreading globally. Sex differences related to these conditions have not been adequately assessed. METHODS: Through our community engagement program, data on demographics, health status, and substance use, including prescription opioids (e.g., Vicodin®, Oxycodone), were collected from community members in Florida (primarily North Central Florida) during a health needs assessment. Participants over 18 years of age were classified by opioid use: past 30-day, lifetime but not past 30-day, or no lifetime prescription opioid use. Descriptive statistics and chi-square tests were calculated, and multinomial logistic regression was used to calculate adjusted odds ratios (aOR; CI). Analyses were conducted for men and women separately to examine sex specific effects. RESULTS: Among 9221 community members assessed, the mean age was 45 years, 60% were female, and 58% were black. Respondents who endorsed past 30-day use and lifetime use were more likely to be female. Prescription sedative use was the strongest risk factor for past 30-day (aOR = 3.96; 95% CI, 3.35-4.68) and lifetime (aOR = 2.67; 95% CI, 2.34-3.04) prescription opioid use, regardless of sex. Other factors including marijuana use and history of cancer were significantly associated with prescription opioid use; they varied by sex. CONCLUSIONS: The risk factors identified in this community sample provide additional information not accounted for by national studies. Future examinations of the consequences of concomitant opioid and sedative use, especially among women, are needed.

A latent class analysis of the past-30-day substance use patterns among lifetime cocaine users: Findings from a community sample in North Central Florida.

OBJECTIVES: Cocaine use is increasing and many cocaine users engage in polysubstance use. Within polysubstance use, relationships among use of individual substances are necessarily complex. To address this complexity, we used latent class analysis (LCA) to identify patterns of polysubstance use among lifetime cocaine users and examine associations among these patterns, demographics, and risk profiles. METHODS: Members of HealthStreet, an ongoing community engagement program, were asked about lifetime and past 30-day use of cocaine, alcohol, tobacco, marijuana, and prescription medications, mental health conditions, recent Emergency Department (ED) visits and demographics. LCA was used to identify classes of past 30-day polysubstance use among individuals who endorsed lifetime cocaine use. Multinomial logistic regression identified factors associated with these classes. RESULTS: Among 1797 lifetime cocaine users, a five-class LCA model was identified: 1) past 30-day tobacco use only (45%), 2) past 30-day alcohol, marijuana and tobacco use (31%), 3) past 30-day tobacco, prescription opioid and sedative use (13%), 4) past 30-day cocaine, alcohol, marijuana and tobacco use (9%), 5) past 30-day cocaine and multiple polysubstance use (2%). Demographics, ED visits and mental health conditions were associated with class membership. CONCLUSIONS: Approximately 11% of lifetime cocaine users used cocaine in the past 30 days with two different concurrent substance use patterns. Prescription medication (opioids and sedatives) and complex polysubstance use patterns were stronger indicators of negative outcomes than current cocaine use. Cocaine was not used frequently with other stimulants. In addition to polysubstance use, prescription medication use should be targeted for intervention among lifetime cocaine users.

A Longitudinal Analysis of the Substance Abuse, Violence, and HIV/AIDS (SAVA) Syndemic among Women in the Criminal Justice System.

Using data from a randomized controlled trial of 319 women mainly recruited from a Municipal Drug Court System in St. Louis, MO, this study evaluates substance use, victimization, and HIV/AIDS risk behaviors over time. The results indicated that, for all participants, the likelihood of victimization, using drugs, and meeting the criteria for HIV/AIDS risk decreased by 46% by the eight-month follow-up; however, results did not differ significantly by intervention group. Women who were sexually abused as a child, had 4+ arrests, or believed they had sexual and drug-using behaviors that need changing at baseline were more likely to experience these issues over time.

Prevalence of Concurrent Prescription Opioid and Hazardous Alcohol Use Among Older Women: Results from a Cross-Sectional Study of Community Members.

Concurrent use of prescription medications and alcohol is prevalent among older adults and impacts women more than men, however little is known about characteristics of older women who use both. The current analysis aims to evaluate those characteristics. Participants were recruited through HealthStreet, an outreach program. Community health workers (CHWs) assess health needs and concerns among community members. CHWs collect demographic, substance use, and other health data from participants. Female participants (≥ 50 years) interviewed November 2011-November 2017 were included and stratified into four groups: neither prescription opioid nor hazardous alcohol use (three or more drinks in a single day), hazardous alcohol use only, prescription opioid use only, and both prescription opioid and hazardous alcohol use. Chi square and ANOVA tests were used to compare these groups. Among the 2370 women (53% black; mean age 61 years), 70% reported neither prescription opioid nor hazardous alcohol use, 12% reported hazardous alcohol use only, 15% reported prescription opioid use only, and 3% reported use of both in the past 30 days. Concurrent prescription opioid and hazardous alcohol use were significantly associated with comorbid depression and anxiety (p < 0.0001); women who endorsed prescription opioid use only were significantly more likely to report a history of back pain, cancer, or diabetes compared to their counterparts (p < 0.0001). Nearly a third of women reported prescription opioid and/or hazardous alcohol use in the past 30 days. Because the risk and consequences of concomitant alcohol and opioid use increase with age, interventions tailored to women are needed.

Sex differences in prescription opioid use.

PURPOSE OF REVIEW: Recent literature focused on prescription opioids has neglected sex differences in use. Here, we evaluated the recent literature (since 2015) examining sex differences in prescription opioid use. RECENT FINDINGS: Between 2015 and 2016, our review found only eight articles addressing sex differences in prescription opioid use mostly opioid misuse in North America among individuals with chronic pain. Risk factors included depression, pain, and polydrug use. In addition to that review, we had the opportunity to further address sex differences in, and risk factors for, prescription opioid use through a community engagement program, HealthStreet. Among the sample (n = 8525, Mage = 43.7 years, 58.6% women), approximately half reported use of prescription opioids. Women were significantly more likely to report lifetime use (54.9 vs. 42.2%; P < 0.0001) and report cancer compared with men, yet, women with cancer had a significantly reduced risk of using opioids compared with men with cancer (odds ratio: 0.46; 95% confidence interval, 0.36-0.59). SUMMARY: Only a few recently published studies analyzed sex differences related to prescription opioid use. Findings from the literature and our data suggest women are more likely to use prescription opioids compared with men. There is limited information on sex differences in opioid use risk factors and outcomes and more research in this area is warranted.

Non-medical opioid use in youth: Gender differences in risk factors and prevalence.

BACKGROUND: Non-medical use (NMU) of prescription opioids in youth is of concern since they may continue this pattern into adulthood and become addicted or divert medications to others. Research into risk factors for NMU can help target interventions to prevent non-medical use of opioids in youth. METHOD: The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) was conducted from 2008 to 2011. Participants 10-18years of age were recruited from entertainment venues in urban, rural and suburban areas of 10 US cities. Participants completed a survey including questions on their use of prescription opioids. NMU was defined as a non-labeled route of administration or using someone else's prescription. Information on age, gender, alcohol, marijuana and tobacco use was also collected. Summary descriptive, chi-square statistics and logistic regression were conducted using SAS 9.4. RESULTS: Of the 10,965 youth who provided information about past 30day prescription opioid use, prevalence of reported opioid use was 4.8% with 3.2% reported as NMU (n=345) and 1.6% as medical use (MU) only (n=180). More males than females (55.7% vs. 44.4%) reported opioid NMU (p<0.0001). Logistic regression revealed that among males (comparing NMU to MU only), current smokers were 4.4 times more likely to report opioid NMU than non-smokers (95% CI: 1.8, 10.7). Among females (comparing NMU to MU only), current smokers and alcohol users were more likely to report opioid NMU than those who had never smoked or used alcohol (OR=3.2, 95% CI: 1.4, 7.0 and OR=4.1, 95% CI: 1.7, 10.4, respectively). CONCLUSIONS: These results suggest that further research on gender differences in opioid NMU is needed; interventions for opioid NMU may need to be gender specific to obtain the best results.

The Association Between Weapon Carrying and Health Risk Behaviors Among Adolescent Students in Bangkok, Thailand.

Carrying weapons is a significant social and public health problem worldwide, especially among adolescents. The present study examined the association between weapon carrying and related risk behaviors among Thai adolescents. A cross-sectional study of 2,588 high school and vocational school students aged 11 to 19 years from 26 schools in Bangkok, Thailand, was conducted in 2014. This study found that 7.8% of youth reported having carried a weapon in the past 12 months. The high prevalence of weapon carrying was reported by male students, and males were more likely to have reported carrying a weapon than females. The association between weapon carrying and the health risk behaviors like drinking, smoking, any drug use, and physical fighting were significant with higher odds of weapon carrying in all models. Among males, weapon carrying was related to drinking and smoking, any drug use, physical fighting, and school type. Among females, suicidal thoughts were significantly related along with drinking and smoking, any drug use, and physical fighting. Having a mother who used substances was significant only among females. These data could be used for further interventions about weapon carrying to reduce violence.

Current patterns of marijuana use initiation by age among US adolescents and emerging adults: implications for intervention.

BACKGROUND: More recent data are required for effective measures to prevent marijuana use among youth in the United States. OBJECTIVE: To investigate the risk of marijuana use onset by age using the most recent data from a national sample. METHODS: Data for participants (n = 26,659) aged 12-21 years from the 2013 National Survey on Drug Use and Health (NSDUH) (50.4% male, 55.6% White) were analyzed. Patterns of the risk of marijuana use initiation from birth to age of 20 years by single year of age were characterized using hazards survival models. RESULTS: The estimated hazards of marijuana use showed unique age patterns for the overall sample and by gender and racial/ethnic groups. Up to age of 11 years, the hazards of marijuana use initiation were below 0.0500; the hazards after age of 11 years increased rapidly with two peaks at age 16 (0.1291) and 18 years (0.1496), separated by a reduction at age 17 years (0.1112). The age pattern differed significantly by gender (hazards from high to low: male, female) and race/ethnicity (hazards from high to low: multi-racial, Black, White, Hispanic, and Asian). By age of 21 years, 54.1% (56.4% for male and 51.9% for female) had initiated marijuana use with a mean onset age of 16.5 years. CONCLUSIONS: This study documented the risk of marijuana use initiation by age. Research findings suggest the timing of marijuana use prevention was no later than middle school. Additional attention is indicated to multi-racial/ethnic youth. Future interventions should be developed for both parents and adolescents, and delivered to the right target population at the right time.

Correlates of use of alcohol mixed with energy drinks among youth across 10 US metropolitan areas.

BACKGROUND: Predictors of use of alcohol mixed with energy drinks (AmED) among youth have been understudied. The current analyses investigated the prevalence of and correlates for use of AmED among alcohol users from a national study of stimulant use among youth. METHODS: The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) assessed behaviors and risk factors for stimulant use from 11,048 youth, 10-18 years of age recruited from entertainment venues across 10 US cities. Of the four cross sections, two had questions on having alcohol mixed with energy drinks (AmED) in the past 30 days along with sociodemographic characteristics, current tobacco and marijuana use and current nonmedical use of prescription opioids, anxiolytics, and stimulants. Only 13 to18 year olds and those who reported alcohol use were included in the analyses. RESULTS: Overall, 28.4% (1392 out of 4905) of the 13 to18 year olds reported past 30-day alcohol use. Among alcohol users, 27% reported having alcohol mixed with energy drinks in the past 30 days. Multivariate logistic regression indicated that use of AmED was significantly associated with tobacco and marijuana use and nonmedical use of prescription stimulants. CONCLUSIONS: Underage drinking is common among youth and more than a quarter of these drinkers use AmED. Use of AmED is significantly associated with tobacco and marijuana use and nonmedical use of prescription stimulants. Drug and alcohol intervention programs should educate on the risks of AmED, as the same population is at high-risk for use of AmED and alcohol/drug use.

Nonmedical Opioid Pain Relievers and All-Cause Mortality: A 27-Year Follow-Up From the Epidemiologic Catchment Area Study.

OBJECTIVES: We investigated whether nonmedical opioid pain reliever use is associated with higher mortality in the general US population. METHODS: We assessed the history of nonmedical opioid pain reliever use among 9985 people interviewed at baseline of the Epidemiologic Catchment Area Program initiated in 1981 to 1983 in Baltimore, Maryland; St. Louis, Missouri; and Durham, North Carolina. We linked the data with the National Death Index through 2007. RESULTS: Nonmedical opioid pain reliever use was 1.4%. Compared with no nonmedical drug use, mortality was increased for nonmedical opioid pain reliever use (hazard ratio [HR] = 1.60; 95% confidence interval [CI] = 1.01, 2.53) or nonmedical use of other drugs (HR = 1.31; 95% CI = 1.07, 1.62). Mortality was also higher for males and for those beginning nonmedical opioid pain reliever use before aged 15 years. CONCLUSIONS: A history of nonmedical opioid pain reliever use was associated with increased mortality, in particular for males and early onset users.

Differentiating patterns of prescription stimulant medical and nonmedical use among youth 10-18 years of age.

OBJECTIVE: To assess the past 30-day prevalence of prescription stimulant use, report different forms of nonmedical use, and investigate different characteristics associated with Medical Users Only, Nonmedical Users Only, and youth who reported both medical and nonmedical use (MU+NMU youth). METHODS: The National Monitoring of Adolescent Prescription Stimulants Study recruited 11,048 youth aged 10-18 years from entertainment venues in 10 US cities. RESULTS: In this study, 6.8% youth used prescription stimulants in the past 30 days, with 3.0% reporting Medical Use Only (MU Only), 1.1% reporting Both Medical and Nonmedical Use (MU+NMU), and 2.5% reporting Nonmedical Use Only (NMU Only). Use of other's stimulants was the most frequently reported form of nonmedical use (88.4%), followed by using more than prescribed (38.9%), and using outside of the prescribed route (32.2%). Medical Users Only and MU+NMU youth did not differ from Non-Users in cigarette, alcohol, and illicit drug use. MU+NMU youth tended to have more conduct problem behaviors compared to Medical Users Only (p=0.0011) and Nonmedical Users Only (p=0.0132). Compared to MU+NMU youth, Nonmedical Users Only were more likely to have close friends who tried Adderall (p=0.0123), endorse binge drinking (p=0.0118) and illicit drug use (p<0.0015). CONCLUSIONS: Future research should investigate the sources of the nonmedically used prescription stimulants and how they were diverted. Intervention programs need to acknowledge the differences between MU+NMU youth and Nonmedical Users Only, and employ different strategies to prevent nonmedical use in these subgroups.