Evidence map›Paper›PMID 38196059›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024

Neighborhood and Individual Disparities in Community-Based Naloxone Access for Opioid Overdose Prevention.

Elizabeth D Nesoff, Zachary F Meisel, Huda Saeed, Silvia S Martins

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Examining geographic disparities in access to no-cost naloxone in North Carolina: A cross-sectional survey of naloxone distribution programs.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    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

4 authors at 3 institutions in 1 country.

Elizabeth D NesoffDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, 423 Guardian Dr, Philadelphia, PA, 19104, USA. enesoff@upenn.edu.ORCID 0000-0001-8562-8646
Zachary F MeiselDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, 423 Guardian Dr, Philadelphia, PA, 19104, USA.
Huda SaeedBrown University, 75 Waterman Street, Providence, RI, 02912, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 W168th St, 5th Floor, New York, NY, 10032, USA.
University of Pennsylvania · USBrown University · USColumbia University · US

Funding

Neighborhoods, Mental Health, and the Prevention of Opioid Overdose: A Mixed Methods ApproachK01DA049900 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI NESOFF, ELIZABETH · 2020 to 2024
$851k
NIDA NIH HHS K01 DA049900NIDA NIH HHS K01DA049900
6 · The paper itself

Abstract

Improving access to naloxone for laypersons is a cornerstone of the US strategy to reduce opioid overdose deaths. This study evaluated change in distance to opioid overdose prevention programs (OOPPs) providing walk-in naloxone across two time points. We also explored individual and neighborhood disparities in distance to OOPPs, associations between 2020 OOPP locations and 2018 overdoses, and associations between OOPPs and neighborhood fatal overdose rates. Using fatal opioid overdose locations in 2018 (n = 1167) and 2020 (n = 2045) in New York City, we mapped OOPP locations and fatal overdose locations to visualize areas of unmet naloxone need. We used logistic regression to assess individual (age, sex, race/ethnicity) and neighborhood correlates of odds of an overdose occurring within walking distance (≤ 0.5 miles or 0.8 km) of an OOPP and negative binomial regression to assess the relationship between census tract-level OOPP counts and overdose rates. Distance to OOPPs significantly improved over time, with average distance decreasing by 1.7 miles (2.7 km) (p < 0.001). OOPPs were more likely to be located in neighborhoods with higher poverty in both years and in closer proximity to Latinos in 2020-suggesting improved access for Latinos and in higher poverty neighborhoods. OOPP locations in 2020 were significantly positively associated with overdose locations in 2018. OOPPs were not well-situated in neighborhoods with elevated overdose rates in 2018 but were better situated in 2020, controlling for other neighborhood variables. Community lay naloxone access through OOPPs improved over time and could have promising effects for improved overdose rates in the future.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansNaloxoneNarcotic AntagonistsAnalgesics, OpioidNaloxoneNarcotic AntagonistsHarm reductionNaloxoneNeighborhoodsOpioidsOverdose

Identifiers

PMID38196059
PMCPMC10897088
OpenAlexW4390706938

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.