Evaluation of Strategies to Enhance Community-Based Naloxone Distribution Supported by an Opioid Settlement.

Importance: Many US states are substantially increasing community-based naloxone distribution, supported in part through settlements from opioid manufacturers and distributors. Objectives: To evaluate the potential impact of increased naloxone availability on opioid overdose deaths (OODs) and explore strategies to enhance this impact by integrating interventions to address solitary drug use. Design, Setting, and Participants: This decision analytical modeling study used PROFOUND (Prevention and Rescue of Fentanyl and Other Opioid Overdoses Using Optimized Naloxone Distribution Strategies), a previously published simulation model, to forecast annual OODs between January 2023 and December 2025. The simulated study population included individuals from Rhode Island who misused opioids and stimulants and were at risk for opioid overdose. Exposures: The study modeled expanded naloxone distribution supported by the state's opioid settlement (50 000 naloxone nasal spray kits each year). Two approaches to expanding naloxone distribution were evaluated: one based on historical spatial patterns of naloxone distribution (supply-based approach) and one based on the spatial distribution of individuals at risk (demand-based approach). In addition, hypothetical interventions to enhance the likelihood of witnessed overdoses in private or semiprivate settings were considered. Main Outcomes and Measures: Annual number of OODs and ratio of fatal to nonfatal opioid overdoses. Results: Modeling results indicated that distributing more naloxone supported by the state's opioid settlement could reduce OODs by 6.3% (95% simulation interval [SI], 0.3%-13.7%) and 8.8% (95% SI, 1.8%-17.5%) in 2025 with the supply-based and demand-based approaches, respectively. However, increasing witnessed overdoses by 20% to 60% demonstrated greater potential for reducing OODs, ranging from 8.5% (95% SI, 0.0%-20.3%) to 24.1% (95% SI, 8.6%-39.3%). Notably, synergistic associations were observed when combining both interventions: increased naloxone distribution with the 2 approaches and a 60% increase in witnessed overdoses could reduce OODs in 2025 by 33.5% (95% SI, 17.1%-50.4%) and 37.4% (95% SI, 19.6%-56.3%), respectively. Conclusions and Relevance: These findings suggest that interventions to address solitary drug use are needed to maximize the impact of continued efforts to increase community-based naloxone distribution, which may be particularly important for jurisdictions that have strong community-based naloxone distribution programs.

Factors associated with daily use of benzodiazepines/tranquilizers and opioids among people who use drugs.

BACKGROUND: Co-use of benzodiazepines and opioids significantly increases fatal overdose risk, yet few studies have examined co-use of these drugs when obtained both with and without a prescription. We examined associations of daily co-use of prescribed benzodiazepines/tranquilizers (BZD/TRQ) and prescribed and nonprescribed opioids among people who use street opioids (PWUO). METHODS: PWUO (N = 417) were recruited from Baltimore City and neighboring Anne Arundel County, Maryland, and surveyed on sociodemographic characteristics, structural vulnerabilities, healthcare access and utilization, substance use, and overdose experiences. Multivariable logistic regression was used to identify factors associated with self-reported co-use. RESULTS: Participants were 46 years old on average, and predominantly Black (74%) males (62%). Daily co-use was reported by 22%. In multivariable analyses, odds of co-use were significantly higher among participants who did not have a high school degree/GED (adjusted odds ratio [aOR]: 1.71, 95% confidence interval [CI]: 1.02-2.88), endorsed receiving mental health treatment in the past 6 months (aOR: 2.13, 95% CI: 1.28-3.56), reported daily use of powdered cocaine (aOR: 3.57, 95% CI: 1.98-6.45), and synthetic cannabinoids (aOR: 3.11, 95% CI: 1.40-6.93). Odds of co-use were significantly lower among Black participants compared to white participants (aOR: 0.39, 95% CI: 0.19-0.82). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Clinicians working with PWUO or who prescribe BZDs or opioids should screen patients who use cocaine or synthetic cannabinoids, have low level of educational attainment, or recently accessed mental health services, as these patients may be at higher risk for daily co-use of BZD/TRQ and opioids, and therefore lethal overdose.