Evidence map›Paper›PMID 38814644›Full record

ArticleJAMA network open2024

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

Xiao Zang, Alexandra Skinner, Maxwell S Krieger, Czarina N Behrends, Ju N Park, Traci C Green, Alexander Y Walley, Jake R Morgan, Benjamin P Linas, Jesse L Yedinak and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Xiao ZangDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis.
Alexandra SkinnerDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Maxwell S KriegerDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Czarina N BehrendsDepartment of Population Health Sciences, Weill Cornell Medical College, New York City, New York.
Ju N ParkDepartment of Medicine, Brown University, Providence, Rhode Island.
Traci C GreenThe Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.
Alexander Y WalleyDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts.
Jake R MorganDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, Massachusetts.
Benjamin P LinasSection of Infectious Diseases, Boston Medical Center, Boston, Massachusetts.
Jesse L YedinakDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Bruce R SchackmanDepartment of Population Health Sciences, Weill Cornell Medical College, New York City, New York.
Brandon D L MarshallDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.

Funding

DAT-18-06 Prevention and Rescue Of Fentanyl and Other Opioid Overdoses Using Optimized Naloxone Distribution Strategies (PROFOUND)U01DA047408 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARSHALL, BRANDON DAVID LEWIS, SCHACKMAN, BRUCE R · 2019 to 2023
$3.5M
NIDA NIH HHS U01 DA047408
6 · The paper itself

Abstract

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.

Indexed as

NaloxoneNarcotic AntagonistsOpiate OverdoseAnalgesics, OpioidDrug OverdoseHumansOpioid-Related DisordersRhode IslandAnalgesics, OpioidNaloxoneNarcotic Antagonists

Identifiers

PMID38814644
PMCPMC11140538

What OpenQuestion holds

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Registered trials

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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.