Gender-specific correlates of nonmedical use of prescription medications in a diverse primary care sample.

BACKGROUND: Nonmedical use of prescription medications (NUPM) is a growing problem but little is known about its gender-specific mechanisms despite NIDA's call for gender-stratified research over a decade ago. We explored gender differences in NUPM in a diverse sample of primary care patients. METHODS: N = 4458 participants participated in an anonymous health survey in urban primary care clinics. The primary outcome was past month NUPM. All analyses were stratified by gender. Bivariate relationships among NUPM and demographic, medical, psychological, and substance use-related variables were analyzed. Stepwise multivariate logistic regression models (LRMs) were estimated by gender. RESULTS: More men (9.5%) reported NUPM than women (7.4%). The final LRM among men included age (OR=0.98), race (OR=0.49), chronic pain diagnosis (OR=1.73), hepatitis (OR=1.78), depression diagnosis (OR=1.77), positive alcohol misuse screen (OR=1.58), and mood disturbance (OR=1.04). Among women, the model included mood disturbance (OR=1.04), illicit drug use (OR=2.22), family history of drug problems (OR=1.41), and heart disease diagnosis (OR=0.48). Effect sizes ranged from small to moderate. CONCLUSIONS: Among a sample of primary care patients, gender-stratified analyses indicated differential presentation of NUPM by gender. Demographic factors were more relevant correlates among men, with younger, White men at higher risk. Chronic pain and depression were more notable risk factors for men. Recent illicit drug use and family history of drug problems were uniquely associated among women, while recent distress was a strong correlate among both men and women. A better understanding of gender-specific correlates of NUPM can inform gender-tailored prevention and treatment efforts.

Assessment of an electronic and clinician-delivered brief intervention on cigarette, alcohol and illicit drug use among women in a reproductive healthcare clinic.

BACKGROUND: Women are at highest risk for development of a substance use disorder during their reproductive years. We recently evaluated the efficacy of an electronic screening, brief intervention and referral to treatment (e-SBIRT) and a clinician-delivered SBIRT (SBIRT) compared with enhanced usual care (EUC) for reducing overall substance use among women recruited from reproductive health clinics. The present study assessed the impact of the SBIRT interventions within three primary substance subgroups: cigarettes, illicit drugs, and alcohol. METHODS: This is a secondary analysis from a 3-group randomized trial comparing e-SBIRT and SBIRT to EUC. For the present study, participants (N = 439) were grouped according to their primary substance: cigarettes, alcohol, or illicit drugs. Differences in days per month of primary substance use over time between treatment groups were examined using generalized estimating equations, modelling linear as well as quadratic effects of time. RESULTS: Cigarettes were the most frequently reported primary substance (n = 251), followed by illicit drugs (n = 137) and alcohol (n = 51). For primary cigarette use the interaction between the linear effect of time and treatment was significant for SBIRT (ß (SE) = -0.067 (0.029), p = .020), but not e-SBIRT, suggesting greater reductions in cigarette use over the first 3 months following treatment with SBIRT compared to EUC. However, the significant interaction of SBIRT with time-squared (ß (SE) = 0.009 (0.004), p = .049) showed that reductions in cigarette use attenuated over time, such that after month 3, monthly reductions in cigarette use were similar between groups. Results followed a similar pattern for primary illicit drug use among the e-SBIRT group in which the interaction of e-SBIRT treatment with linear time (ß (SE) = -0.181 (0.085), p = .033) and quadratic time (ß (SE) = 0.028 (0.012), p = .018) were statistically significant suggesting greater reductions in illicit drug use with e-SBIRT versus EUC, which attenuated with time. Neither SBIRT nor e-SBIRT was associated with a significant reduction in days of alcohol use per month, as compared to EUC. CONCLUSIONS: Reproductive-age women appear to respond differently to electronic- and clinician-delivered interventions, depending on their primary substance. SBIRT reduced use of cigarettes, and e-SBIRT reduced illicit drug use. Although neither intervention reduced primary alcohol use, the sample size was small (n = 51), suggesting a need for further testing in a larger sample.

Technology-based interventions and trainings to reduce the escalation and impact of alcohol problems.

There has been a rapid increase in the development of technological innovations to reduce the escalation and impact of alcohol problems among adolescents and adults. Technology-based interventions offer the possibility of reaching individuals who otherwise might not seek treatment, (e.g., those in remote areas, those not perceiving a need for treatment, or others who may resist treatment). This article describes four case examples of technology-based interventions for risky drinking: 1) a freely available and interactive website that provides individualized feedback and information on risky drinking patterns; 2) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; 3) a computer-delivered screening and brief intervention for alcohol use among pregnant women, and 4) a simulation program for training social workers in screening and brief intervention. These case examples highlight how technology may have a role in addressing the Alcohol Misuse Grand Challenge.