Evidence map›Paper›PMID 37362079›Full record

ArticleDrug and alcohol dependence reports2023

Disruptions to naloxone training among lay and occupational responders in Maryland during the emergence of COVID-19: early impacts, recovery, and lessons learned.

Himani Byregowda, Catherine Tomko, Kristin E Schneider, Erin Russell, Renee M Johnson, Ryoko Susukida, Saba Rouhani, Taylor Parnham, Ju Nyeong Park

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Drug Market's Impact on the Overdose Risk Environment for Women Who Use Drugs During the COVID-19 Pandemic.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  2. Neighborhood and Individual Disparities in Community-Based Naloxone Access for Opioid Overdose Prevention.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    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

9 authors.

Himani ByregowdaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health.
Catherine TomkoDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health.
Kristin E SchneiderDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health.
Erin RussellCenter for Harm Reduction Services, Maryland Department of Health.
Renee M JohnsonDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health.
Ryoko SusukidaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health.
Saba RouhaniDepartment of Epidemiology, New York University School of Global Public Health.
Taylor ParnhamDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health.
Ju Nyeong ParkDivision of General Internal Medicine, Warren Alpert Medical School, Brown University.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

Background: : Opioid overdose death rates increased during the COVID-19 pandemic. Disruptions in community-based naloxone trainings could have reduced the likelihood of overdose reversal and increased the chances of a fatal overdose. We investigated changes in the number of people trained in naloxone administration and distribution in Maryland before, during, and after COVID-related stay-at-home orders. Methods: : Data on naloxone training are from the Maryland Department of Health. We used interrupted time series models to estimate changes in average monthly number of people trained: [1] pre-interruption (4/2019-3/2020), [2] 1-month post-interruption (4/2020-5/2020), and [3] 12-months post-interruption (4/2020-3/2021). Trainees were classified as lay (e.g., people who use drugs) or occupational (e.g., law enforcement officers and harm reduction workers) responders. Results: : There were 101,332 trainees; 54.1% lay, 21.5% occupational, and 23.4% unknown responder status. We observed a decrease in the average monthly number of trainees in the pre-interruption period (-235, Conclusions: : Findings suggest a marked decrease in naloxone trainees immediately after stay-at-home order, followed by a moderate rebound in the 12-months after stay-at-home order. The decrease in occupational responders trained may have limited access to naloxone, but would likely have been offset by increases in number of lay responders trained. Strengthening lay and occupational responder connections could maintain naloxone distribution during public health crises.

Indexed as

COVID-19harm reductionnaloxoneoverdose prevention

Identifiers

PMID37362079
PMCPMC10271935

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.