Evidence map›Paper›PMID 35775468›Full record

ArticleAnnals of medicine2022

The changing epidemiology of opioid overdose in Baltimore, Maryland, 2012-2017: insights from emergency medical services.

Chen Dun, Sean T Allen, Carl Latkin, Amy Knowlton, Brian W Weir

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. The Experiences and Attitudes of Rural Black People who Use Drugs.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
  4. Article
  5. Review
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

5 authors at 1 institution in 1 country.

Chen DunDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sean T AllenDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Carl LatkinDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-7931-2116
Amy KnowltonDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Brian W WeirDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-1634-218X
Johns Hopkins University · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
NIAID NIH HHS P30 AI094189
6 · The paper itself

Abstract

introductionAn estimated 100,306 people died from an overdose from May 2020 to April 2021. Emergency Medical Services (EMS) are often the first responder to opioid overdose, and EMS encounter records can provide granular epidemiologic data on opioid overdose. This study describes the demographic, temporal, and geographic epidemiology of suspected opioid overdose in Baltimore City using data from Baltimore City Fire Department EMS encounters with the administration of the opioid antagonist naloxone.

methodThe present analyses used patient encounter data from 2012 to 2017 from the Baltimore City Fire Department, the city's primary provider of EMS services. The analytic sample included patient encounters within the city that involved naloxone administration to patients 15 years of age or older (

resultsFrom 2012 to 2017, the annual number of EMS encounters with naloxone administrations approximately doubled every 2 years, and the temporal pattern of naloxone administration was similar to the pattern of fatal opioid-related overdoses. For most census tracts, incidence rates significantly increased over time. Population-based incidence of naloxone administration varied significantly by socio-demographic characteristics. Males, non-whites, and those 25-69 years of age had the highest incidence rates.

conclusionThe incidence of naloxone administration increased dramatically over the study period. Despite significant cross-sectional variation in incidence across demographically and geographically defined groups, there were significant proportional increases in incidence rates, consistent with fatal overdose rates over the period. This study demonstrated the value of EMS data for understanding the local epidemiology of opioid-related overdose. Key MessagesPatterns of EMS encounters with naloxone administration appear to be an excellent proxy for patterns of opioid-related overdoses based on the consistency of fatal overdose rates over time.EMS plays a central role in preventing fatal opioid-related overdoses through the administration of naloxone, provision of other emergency services, and transportation to medical facilities.EMS encounters with naloxone administration could also be used to evaluate the impact of overdose prevention interventions and public health services.

Indexed as

Drug OverdoseEmergency Medical ServicesOpiate OverdoseAnalgesics, OpioidBaltimoreHumansMaleNaloxoneAnalgesics, OpioidNaloxoneEmergency medical servicesepidemiologynaloxoneopioid overdose

Identifiers

PMID35775468
PMCPMC9255214
OpenAlexW4283753686

What OpenQuestion holds

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LicenceCC BY
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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.