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Naloxone Distribution Models in the United States: A Scoping Review
Nina Vadiei1, David R Axon2, Becka Eckert2
1Division of Pharmacotherapy and Translational Sciences, College of Pharmacy, The University of Texas at Austin, San Antonio, TX, USA.
Naloxone distribution models in the US vary, with community programs and pharmacies being most common. Improved data collection is needed to assess which opioid overdose prevention strategies are most effective.
Area of Science:
- Public Health
- Pharmacology
- Health Services Research
Background:
- Increasing naloxone distribution is crucial for mitigating opioid overdose deaths.
- Diverse naloxone distribution models exist across states and health systems.
- Understanding model differences, strengths, and barriers is vital for implementation.
Purpose of the Study:
- To review and compare different naloxone distribution models in the United States.
- To identify the strengths and limitations of various naloxone distribution strategies.
- To highlight the need for improved outcome data in naloxone distribution programs.
Main Methods:
- Systematic literature search of four databases: PubMed/Medline, Embase, Scopus, and Cochrane Library.
- Inclusion of English-language reports on US-based naloxone distribution models, regardless of study design.
- Data extraction and analysis of 49 selected articles from an initial 5825 identified.
Main Results:
- Community-based programs and pharmacies (via standing orders) are the most frequent naloxone distribution models.
- Feasibility is a common strength, but cost is a frequent limitation across models.
- Few studies reported on health or economic outcomes, such as overdose reversals or cost-savings.
Conclusions:
- Naloxone distribution in the US occurs through various models, primarily community-based and pharmacy settings.
- There is a critical need for enhanced data collection and reporting on health outcomes.
- Future research should focus on evaluating which distribution model factors improve layperson access and reduce overdose mortality.
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