Evidence map›Paper›PMID 37991198›Full record

ArticleHealth promotion practice2025

Implementation of Overdose Prevention in Maryland: Implications for Resource Allocation, Program Scale-Up, and Evaluation.

Catherine Tomko, Saba Rouhani, Renee M Johnson, Ryoko Susukida, Himani Byregowda, Taylor Parnham, Kristin E Schneider, Marianne Gibson, Teresa Heath, Robin Rickard and 2 more

Open access · greenAbstract read
In one paragraph

Article in Health promotion practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Catherine TomkoBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-2622-5518
Saba RouhaniBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Renee M JohnsonBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-5083-8686
Ryoko SusukidaBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Himani ByregowdaBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Taylor ParnhamBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Kristin E SchneiderBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Marianne GibsonMaryland Opioid Operational Command Center, Baltimore, MD, USA.
Teresa HeathMaryland Opioid Operational Command Center, Baltimore, MD, USA.
Robin RickardMaryland Opioid Operational Command Center, Baltimore, MD, USA.
Christine E BoydMaryland Department of Health, Baltimore, MD, USA.
Ju Nyeong ParkAlpert Medical School, Brown University, Providence, RI, USA.
Johns Hopkins University · USBrown University · USMaryland Department of Health · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
CDC HHS 6NU17CE924961NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

Overdose mortality in the United States continues to climb, with Maryland being one of the hardest hit states. We summarized implementation of overdose prevention and response programs in Maryland and identified associations between opioid overdose deaths by jurisdiction in 2019 and implementation of overdose programs by 2021. Data on program implementation are from Maryland's Opioid Operational Command Center (OOCC) Program Inventory. OOCC coordinates the state's response to overdose, and their Program Inventory tracks implementation of 145 programs across 12 domains (e.g., public health, education, and judiciary), including 10 programs designed to broaden naloxone access. The level of program implementation was dichotomized as substantial implementation versus other levels (i.e., partial, planned, and none). We estimated associations between per capita opioid overdose deaths and substantial implementation of: all 145 programs in the Inventory, programs within each of 12 domains, and 10 naloxone programs. Data on program implementation and overdose mortality are summarized at the jurisdiction level. Across jurisdictions, the median proportion of programs with substantial implementation was 51% across all programs and 70% among naloxone programs. Overdose mortality was associated with subsequent substantial implementation of programs within the public health domain (

Indexed as

Drug OverdoseNaloxoneOpiate OverdoseHumansMarylandNarcotic AntagonistsProgram EvaluationNaloxoneNarcotic Antagonistsevaluation methodsimplementationmortalityoverdosepublic health laws/policiessubstance use

Identifiers

PMID37991198
PMCPMC12955725
OpenAlexW4388904519

What OpenQuestion holds

Textmetadata
LicenceTDM
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.