Exposure to Medicines in the Family Medicine Cabinet: Is It a Harbinger of Later Opioid Dependence?

Background: Despite research on prescription opioids and dependence being a national priority, little is known about the association between several potential adolescent risk factors and later opioid dependence among those who use opioids non-medically. Objectives: To investigate the association between lifetime opioid dependence and adolescent self-perceived health, health beliefs (thinking there was a pill for everything), health behaviors (onset of alcohol use before 15, onset of prescription opioid use before 15) and parental health practices (having opioids in the family medicine cabinet at age 14, parental suggestions to take pills when sick). Methods: A sample of 343 community members who non-medically used prescription opioids in the past 12 months were recruited for the Prescription Drug Misuse, Abuse, and Dependence Study and retrospectively assessed for adolescent risk factors of lifetime opioid dependence (DSM-IV). Results: Logistic regression revealed the strongest predictor of lifetime opioid dependence was having a prescription opioid in the family medicine cabinet at age 14. Those who grew up believing there was a pill for everything and those who initiated alcohol use before 15 were 1.83 and 1.78 times as likely, respectively, to meet dependence criteria than their counterparts. Demographics and other adolescent predictors were not associated with opioid dependence. Conclusions: Findings suggest several adolescent exposures can be targeted to reduce opioid dependence. Through their behavior, parents can reduce their teens' risk for opioid dependence.

Motives for prescription stimulant use by patterns of non-medical use.

BACKGROUND: Understanding motivations behind non-medical use of prescription stimulants (NMUPS) is important to prevent such use. METHODS: Adult participants from St. Louis, MO, who endorsed NMUPS on 5 or more days in the past 12 months (n=60) were asked about their motivations for use. Associations between motives for use and patterns of non-medical use in the past 12 months were assessed using multivariable logistic regression, controlling for demographic factors and non-medical use of other prescription drugs. RESULTS: On average, 5.5 different motives for stimulant use were endorsed. Compared to those who only used someone else's stimulants, adults who only used stimulants other than prescribed were less likely to endorse use "to get high" (aOR=0.48, 95%CI 0.26-0.90) and more likely to endorse use "to function" (aOR=1.97, 95%CI 1.04-3.75); adults who were engaged in both patterns of NMUPS were more likely to endorse use "to function" (aOR=4.12, 95%CI 1.56-10.88) and "to modify the effects of other drugs" (aOR=2.29, 95%CI 1.13-4.61). CONCLUSION: Although using stimulants for performance enhancement is common, most people who used diverted stimulants reported using stimulants to get high. Prevention and harm reduction strategies should consider these differences.

Black girls and referrals: racial and gender disparities in self-reported referral to substance use disorder assessment among justice-involved children.

BACKGROUND: There is a higher prevalence of substance use disorder (SUD) among justice-involved children (JIC). It is critical to ensure that JIC who report current use are referred for SUD assessment and potentially life-saving treatment services. Prior research suggests that certain minoritized groups may be less likely to have ever been referred for screening, and research on intersectionality suggests that these disparities may be exacerbated for racially minoritized females. METHODS: Multivariate logistic regression and interaction effects were employed to analyze longitudinal data from the Florida Department of Juvenile Justice on 12,128 JIC who reported SU in the past 6 months. The main and interaction effects of race and gender on the odds of having a history of reporting a referral to SUD assessment were tested. The primary outcome variable was a self-reported measure of a youth's history of being referred to service. The control variables included substance type, household income, current SU problems, history of mental health problems, number of misdemeanors, risk to recidivate, and age at first offense. RESULTS: There were no significant differences in the likelihood of having a history of reporting being referred to SUD assessment between White females, White males, and Latinx females. However, Black females (AOR = 0.62), Latinx males (AOR = 0.71), and Black males (AOR = 0.65) were significantly less likely to self-report having a history of being referred than White males. Black females were 34% likely to report a history of being referred as White males and females. CONCLUSION: In this sample, Black females who use substances were substantially less likely to self-report being referred to SUD screening. According to officials, FLDJJ has solid process to ensure referrals are made. Therefore, the results are likely to be due to external factors and alternative explanations. Community leaders and stakeholders may consider culturally relevant and gender-sensitive programs to expand access to services for minoritized adolescents in their communities, schools, and other institutions.

Diagnostic sequence of cocaine use disorder in relation to other mental health conditions among college students.

Objective: Cocaine use is increasing. Comorbidities and diagnostic sequencing are needed among college students to inform treatment of cocaine use disorder (CUD). Method: Using electronic medical records from the psychiatric clinic at the student health care center of a large, public university from 2005 to 2015, patients diagnosed with CUD were identified. Their top mental health conditions were identified and assessed to see whether the first diagnosis of these conditions was made (1) before, (2) at the same time as, or (3) after the first diagnosis of CUD. Results: Among the 50 CUD patients, their most common mental health comorbidities were alcohol use disorder, anxiety, depression, and cannabis use disorder. Anxiety and depression were likely to be diagnosed before CUD; alcohol and cannabis use disorders were likely to be diagnosed concurrently with CUD. Conclusion: Diagnostic sequencing can be used to inform screening, workup, and treatment for patients with CUD.

Social capital, migration stress, depression and sexual risk behaviors among rural-to-urban migrants in China: a moderated mediation modeling analysis.

Background: Few studies have examined the complex relationship of migration stress and depression with sexual risk behaviors among migrants. The relationship between migration stress and sexual risk behaviors may be mediated by depression, and the mediation process may be modified by social capital. The study aims to investigate this moderated mediation mechanism among rural-to-urban migrants. Methods: Data were collected from rural-to-urban migrants in China. Migration stress, depression, and social capital were measured with validated scales and used as predictor, mediator and moderator, respectively, to predict the likelihood of having sex with risk partners. Mediation and moderated mediation models were used to analyze the data. Results: Depression significantly mediated the migration stress-sex with risk partner relationship for males (the indirect effect [95%CI] = 0.36 [0.08, 0.66]); the mediation effect was not significant for females (0.31 [-0.82, 0.16]). Among males, social capital significantly moderated the depression-sex with risk partner relation with moderation effect -0.12 [-0.21, -0.04], -0.21 [-0.41, -0.01] and -0.17 [-0.30, -0.05] for total, bonding and bridging capital respectively. Conclusion: Social capital may weaken the association between migration stress and sexual risk behavior by buffering the depression-sexual risk behaviors association for males. Additional research is needed to examine this issue among females.

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.

Cross-country Association of Press Freedom and LGBT freedom with prevalence of persons living with HIV: implication for global strategy against HIV/AIDS.

BACKGROUND: Human behaviors are affected by attitudes and beliefs, which in turn are shaped by higher-level values to which we have ascribed. In this study, we explore the relationship between two higher-level values, press freedom and LGBT freedom, and HIV infection with national data at the population level. METHODS: Data were the number of persons living with HIV (PLWH, n = 35,468,911) for 148 countries during 2011-15, press freedom index (PFI) determined by the Reporters Without Borders, and LGBT freedom index (LGBT-FI) based on laws regulating same-sex relationships and expression. PLWH prevalence (1/1000), PFI and LGBT-FI were mapped first. Multiple regression was thus used to associate the logarithm of PLWH prevalence with PFI, LGBT-FI and PFI × LGBT-FI interaction, controlling for per capita GDP and weighted by population size. RESULTS: Global prevalence of PLWH during 2011-15 was 0.51 per 1000 population. The prevalence showed a geographic pattern moving from high at the south and west ends of the world map to low at the north and east. Both PFI and LGBT-FI were positively associated with PLWH prevalence with a negative interaction between the two. CONCLUSIONS: More people are infected with HIV in countries with higher press freedom and higher LGBT freedom. Furthermore, press freedom can attenuate the positive association between levels of LGBT freedom and risk of HIV infection. This study demonstrated the urgency for and provided data supporting further research to investigate potential cultural and socioecological mechanisms underpinning the complex relationship among press freedom, LGBT freedom and HIV infection, with data collected at the individual level.

Social Capital Associated with Quality of Life Mediated by Employment Experiences: Evidence from a Random Sample of Rural-to-Urban Migrants in China.

Working-age migrants need to possess adequate social capital in order to secure a stable and satisfactory job so that they can pursue a better quality of life (QOL). The positive relationship between social capital and vocational experiences, including successful employment, has been well established. In this study we focused on testing a multi-step mediation model linking social capital with employment experiences, and further to QOL. Survey data from rural-to-urban migrants randomly selected from Wuhan, China were analyzed. Social capital, including bonding and bridging capital, was measured using the Personal Social Capital Scale; employment experiences were measured using five job-related items; and QOL was measured using the Brief Symptoms Inventory. Structural equation modeling analysis indicated that job security and job satisfaction were positively and significantly associated with QOL, and social capital measures were significantly associated with higher QOL (primarily for males). Furthermore, job security and job satisfaction fully mediated the relationship between social capital and QOL after controlling for covariates. Findings of this study suggest the significance of social capital, job security and satisfaction in improving migrants' QOL, implying the importance of vocational experiences in mediating the effect from social capital to QOL. If the findings can be confirmed with longitudinal data, these factors should be considered in decision making to improve rural-to-urban migrants' QOL in China.

Pragmatic trial of a Study Navigator Model (NAU) vs. Ambassador Model (N+) to increase enrollment to health research among community members who use illicit drugs.

BACKGROUND: Although drug use is common in the population, drug users are sometimes excluded from research without justification. Two models of individualized study matching were compared for effectiveness in enrolling people who "endorsed current drug use" and those who "did not" into appropriate research. METHODS: Participants in the NIDA-funded Transformative Approach to Reduce Research Disparities Towards Drug Users study (Navigation Study) were recruited through a Clinical and Translational Science Award (CTSA) community engagement model. Of the 614 community-recruited adults, 326 endorsed current drug use (cases); 288 did not (controls). Participants were randomized to one of two intervention groups: Navigation as Usual (NAU) [individualized study matching through a Study Navigator] or Enhanced Navigation (N+) [individualized study matching plus transportation and other assistance through an Ambassador]. Rates of enrollment into research studies were compared. RESULTS: At 90 days, N+ vs. the NAU intervention was associated with higher enrollment among both drug users (36.0% N+ vs. 24.9% NAU) and non-drug users (45.5% N+ vs. 25.2% NAU). NAU attained the same rate of enrollment for users of drugs (24.9%) and non-users (25.2%); N+ had similar rates as well (36.0% drug users vs. 45.5% non-drug users). In addition, high rates of enrollment were achieved among all groups of participants, from 24.9% (drug users in NAU) to 45.5% (non-drug users in N+). CONCLUSIONS: Both the NAU and N+ methods can reduce barriers and help users and non-users become part of the population that participates in research. Working with the local CTSA adds significant value to the research enterprise.