Evidence map›Paper›PMID 41748074›Full record

ArticleJournal of substance use and addiction treatment2026

Over-the-counter naloxone sales and pricing variability in North Carolina following FDA approval.

Jada M Johnson, Izabela E Annis, Paul Delamater, Grace T Marley, Juan M Hincapie-Castillo, Delesha M Carpenter

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jada M JohnsonUniversity of North Carolina at Chapel Hill, Division of Pharmaceutical Outcomes and Policy, Chapel Hill, NC, United States of America. Electronic address: Johnsjad@unc.edu.
Izabela E AnnisUniversity of North Carolina at Chapel Hill, Division of Pharmaceutical Outcomes and Policy, Chapel Hill, NC, United States of America.
Paul DelamaterUniversity of North Carolina at Chapel Hill, Department of Geography and Environment, Chapel Hill, NC, United States of America.
Grace T MarleyUniversity of North Carolina at Chapel Hill, Division of Pharmaceutical Outcomes and Policy, Chapel Hill, NC, United States of America; South East Area Health Education Center, Wilmington, NC, United States of America.
Juan M Hincapie-CastilloUniversity of North Carolina at Chapel Hill, Department of Epidemiology, Chapel Hill, NC, United States of America.
Delesha M CarpenterUniversity of North Carolina at Chapel Hill, Division of Pharmaceutical Outcomes and Policy, Chapel Hill, NC, United States of America.

Funding

Creating a novel place-based measure to explain racial disparities in naloxone access to reduce opioid overdose deathsR01MD018085 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CARPENTER, DELESHA MILLER · 2022 to 2025
$2.4M
NIMHD NIH HHS R01 MD018085
6 · The paper itself

Abstract

introductionAccess to naloxone, an opioid overdose reversal medication traditionally available only by prescription, has expanded through different policies. The most recent policy change occurred in March 2023 when the United States Food and Drug Administration (FDA) approved naloxone for over-the-counter (OTC) use. Although intended to broaden access, no study has evaluated OTC sales trends. This study aimed to examine geographic and racial variations in OTC naloxone sales and cost in North Carolina.

methodsThis repeated cross-sectional study used Nielsen IQ Retail Scanner Data to assess naloxone sales from retail outlets between September 2023 and November 2024. We aggregated OTC sales by quarter and linked to geographic identifiers called Precision IDs, which combine ZIP Code Tabulation Areas (ZCTAs) into larger geographic areas. We assigned racial composition and rurality to each Precision ID using the American Community Survey and USDA Rural-Urban Commuting Area (RUCA) codes. We used generalized estimating equations (GEE) to model changes in naloxone units sold and price per unit over time; racial composition and rurality were included as covariates.

resultsA total of 5734 naloxone units were sold over the study period. Sales declined by about 2% per quarter (IRR = 0.98, 95% CI: 0.95, 1.00; p = 0.0488) and were lower in non-metropolitan areas (p = 0.0082). Sales were higher in areas that had more stores (p < 0.0001) and lower in areas with higher proportions of Black populations (p = 0.0172). The average cost per unit was $44.72 (SD = 2.11), with a significant decline of US$0.49 per quarter (β = -0.489, 95% CI: -0.60, -0.37); p < 0.0001). Higher prices were observed in areas with higher proportions of American Indian/Alaska Native (AIAN) populations (p = 0.0004). Prices were significantly lower in non-metropolitan areas (p = 0.0145).

conclusionsDifferences in OTC naloxone sales and cost existed, with sales and average prices declining over the study period. Sales were lower in non-metropolitan areas and Black communities, while higher prices were observed in AIAN communities. Structural and geographic barriers may limit OTC naloxone sales in areas that could benefit from low-cost naloxone availability. Monitoring changes in sales and prices can inform targeted policy and outreach efforts to promote equitable access to OTC naloxone.

Indexed as

CommerceCosts and Cost AnalysisNaloxoneNarcotic AntagonistsNonprescription DrugsCross-Sectional StudiesDrug ApprovalHumansNorth CarolinaUnited StatesUnited States Food and Drug AdministrationNaloxoneNarcotic AntagonistsNonprescription DrugsHealth disparitiesNaloxone accessNaloxone pricingOver-the-counter naloxonePublic healthSubstance use

Identifiers

PMID41748074
PMCPMC13038257

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.