Evidence map›Paper›PMID 36971722›Full record

ArticleJournal of studies on alcohol and drugs2023

COVID-19-Related Changes to Drug-Selling Networks and Their Effects on People Who Use Illicit Opioids.

David Frank, Noa Krawczyk, Joshua Arshonsky, Marie A Bragg, Sam R Friedman, Amanda M Bunting

Open access · greenAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

  1. Socioenvironmental disasters and the dialectics of overdose mortality.The International journal on drug policy · 2026
    Article
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  3. 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
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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

6 authors at 1 institution in 1 country.

David FrankNYU School of Global Public Health, New York, New York.
Noa KrawczykCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Joshua ArshonskySection on Health Choice, Policy, and Evaluation, Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Marie A BraggSection on Health Choice, Policy, and Evaluation, Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Sam R FriedmanSection on Health Choice, Policy, and Evaluation, Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Amanda M BuntingSection on Tobacco, Alcohol, & Drug Use, Department of Population Health, NYU Grossman School of Medicine, New York, New York.
New York University · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
NYU Training Program in Healthcare Delivery Science and Population Health ResearchT32HS026120 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA, SCHWARTZ, MARK D · 2018 to 2023
$3.4M
Examining the Mechanisms Underlying the Influence of Facebook Food Advertisements on Adolescents' Eating Behaviors: Randomized Controlled TrialsR01CA248441 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAGG, MARIE · 2021 to 2025
$2.5M
Impact of Racially Targeted Food and Beverage Ads on Adolescent BehaviorDP5OD021373 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAGG, MARIE · 2015 to 2019
$2.1M
Development of a novel polysubstance assessment tool for vulnerable subpopulationsK01DA053435 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUNTING, AMANDA M · 2021 to 2025
$909k
AHRQ HHS T32 HS026120NCI NIH HHS R01 CA248441NIDA NIH HHS K01 DA053435NIDA NIH HHS P30 DA011041NIDA NIH HHS R25 DA037190NIDA NIH HHS T32 DA007233NIH HHS DP5 OD021373
6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic has significantly affected people's ability to buy, sell, and obtain items that they use in their daily lives. It may have had a particularly negative effect on the ability of people who use illicit opioids to obtain them because the networks they relied on are illicit and not part of the formal economy. Our objective in this research was to examine if, and how, disruptions related to COVID-19 of illicit opioid markets have affected people who use illicit opioids.

methodWe collected 300 posts--including replies to posts--related to the intersection of COVID-19 and opioid use from Reddit.com, a forum that has several discussion threads (i.e., subreddits) dedicated to opioids. We then coded posts from the two most popular opioid subreddits during the early pandemic period (March 5, 2020-May 13, 2020) using an inductive/deductive approach.

resultsWe found two themes related to active opioid use during the early pandemic: (a) changes in drug supply and difficulty obtaining opioids, and (b) buying less-trustworthy drugs from lesser-known sources.

conclusionsOur findings suggest that COVID-19 has created market conditions that place people who use opioids at risk of adverse outcomes, such as fatal overdose.

Indexed as

COVID-19Illicit DrugsOpioid-Related DisordersAnalgesics, OpioidHumansPandemicsAnalgesics, OpioidIllicit Drugs

Identifiers

PMID36971722
PMCPMC10171252
OpenAlexW4295886253

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.