Evidence map›Paper›PMID 31853736›Full record

ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2020

National Institutes of Health (NIH) Executive Meeting Summary: Developing Medical Countermeasures to Rescue Opioid-Induced Respiratory Depression (a Trans-Agency Scientific Meeting)-August 6/7, 2019.

David T Yeung, Kristopher J Bough, Jill R Harper, Gennady E Platoff

Open access · greenAbstract readConference Proceedings
In one paragraph

Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Targeting the Carotid Body Function With Big-KPharmacology research & perspectives · 2026
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  12. Countermeasures for Preventing and Treating Opioid Overdose.Clinical pharmacology and therapeutics · 2021
    Review
  13. 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 1 institution in 1 country.

David T YeungNational Institute of Allergy and Infectious Diseases/National Institutes of Health (NIAID/NIH), Bethesda, MD, USA. dy70v@nih.gov.ORCID 0000-0001-5692-0170
Kristopher J BoughNational Institute of Drug Abuse/National Institutes of Health (NIDA/NIH), Bethesda, MD, USA.
Jill R HarperNational Institute of Allergy and Infectious Diseases/National Institutes of Health (NIAID/NIH), Bethesda, MD, USA.
Gennady E PlatoffNational Institute of Allergy and Infectious Diseases/National Institutes of Health (NIAID/NIH), Bethesda, MD, USA.
National Institutes of Health · US

Funding

NIAID NIH HHS HHSN272201700055I
6 · The paper itself

Abstract

On August 6th, 2019, a two-day trans-agency scientific meeting was convened by the United States (U.S.) National Institute of Allergy and Infectious Diseases (NIAID/NIH) on the research and development of medical countermeasures (MCMs) and treatment strategies to mitigate synthetic opioid-induced toxicities. This trans-agency meeting was an initiative of the Chemical Countermeasures Research Program (CCRP) and organized by the NIAID in collaboration with the National Institute of Drug Abuse (NIDA), the Biomedical Advanced Research and Development Authority (BARDA), the Food and Drug Administration (FDA), and the Defense Threat Reduction Agency (DTRA). The CCRP is part of the larger NIH biodefense research program coordinated by NIAID, which also includes MCM research and development programs against biological, radiological, and nuclear threats. Its overarching goal is to integrate cutting-edge research and technological advances in science and medicine to enhance the nation's medical response capabilities during and after a public health emergency involving the deliberate or accidental release of toxic chemicals. The potential of a mass casualty public health event involving synthetic opioids is a rapidly growing concern. As such, the overall goals of this trans-agency meeting are to better understand opioid-induced toxicities and advance the development of MCMs to mitigate and reverse opioid-induced respiratory depression (OIRD) to prevent consequential mortality. The primary objectives of the meeting were (1) highlight the latest research on mechanisms of OIRD and related toxicities, animal models, diagnostics, delivery technologies, and emerging new treatment options to prevent lethality; (2) identify current knowledge gaps to advance medical countermeasure development; (3) hear from the U.S. FDA on regulatory considerations to support new technology and treatment approaches; and (4) provide a forum for networking and collaborative partnerships. To accomplish this, a diverse group of almost 200 US domestic and international subject matter experts spanning fundamental and translational research from academia, industry, and government came together in-person to share their collective expertise and experience in this important field. This report briefly summarizes the information presented throughout the meeting, which was also webcast live in its entirety to registered remote attendees.

Indexed as

Biomedical ResearchChemical TerrorismMedical CountermeasuresOpioid EpidemicAnalgesics, OpioidAnimalsDisease Models, AnimalHumansNational Institute of Allergy and Infectious Diseases (U.S.)Opioid-Related DisordersPublic-Private Sector PartnershipsRespirationRespiratory InsufficiencyStakeholder ParticipationUnited StatesAnalgesics, OpioidMedical countermeasuresNIAIDOpioidsRespiratory depression

Identifiers

PMID31853736
PMCPMC6942061
OpenAlexW2995224783

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.