Evidence map›Paper›PMID 36606567›Full record

ArticleAddiction (Abingdon, England)2023

Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties.

David S Fink, Katherine M Keyes, Charles Branas, Magdalena Cerdá, Paul Gruenwald, Deborah Hasin

Open access · bronzeAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  10. Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic.Inquiry : a journal of medical care organization, provision and financing
    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

6 authors at 4 institutions in 1 country.

David S FinkNew York State Psychiatric Institute, New York, NY, USA.ORCID 0000-0003-1531-1525
Katherine M KeyesColumbia University Mailman School of Public Health, New York, NY, USA.ORCID 0000-0002-5624-021X
Charles BranasColumbia University Mailman School of Public Health, New York, NY, USA.
Magdalena CerdáDepartment of Population Health, New York University, New York, NY, USA.ORCID 0000-0001-8441-7046
Paul GruenwaldPrevention Research Centre, Pacific Institute for Research and Evaluation, Berkeley, CA, USA.ORCID 0000-0002-0474-9524
Deborah HasinNew York State Psychiatric Institute, New York, NY, USA.ORCID 0000-0002-6533-7021
Columbia University · USNew York Psychoanalytic Society and Institute · USNew York University · USPacific Institute For Research and Evaluation · US

Funding

Transitions and Alcohol Use in the Later Lifespan: Environmental and Individual-level InfluencesP60AA006282 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI PAUL J GRUENEWALD · 2003 to 2026
$41.2M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Impact of Medical and Recreational Marijuana Laws On Cannabis, Opioids And Psychiatric Medications: National Study of VA Patients, 2000 - 2024R01DA048860 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2019 to 2023
$4.1M
COVID-19 Pandemic: Natural Experiment in Telehealth on Buprenorphine Treatment in a Large Integrated Healthcare SystemK99DA055724 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI FINK, DAVID STANLEY · 2023 to 2023
$174k
NIAAA NIH HHS P60 AA006282NIDA NIH HHS K99 DA055724NIDA NIH HHS R01 DA048860NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

BACKGROUND AND

aimsBoth local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions.

designEcological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data.

settingUnited States. CASES: A total of 711 447 drug overdose deaths. MEASUREMENTS: We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing).

findingsDrug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties.

conclusionsIn the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.

Indexed as

Drug OverdoseOpiate OverdoseAnalgesics, OpioidBayes TheoremHeroinHumansPrescriptionsUnited StatesAnalgesics, OpioidHeroinDrug overdoseeffect modifierepidemiologicalmortalityopioidsprescription opioid supplysmall-area analysissocial determinantssocio-economic factors

Identifiers

PMID36606567
PMCPMC10175115
OpenAlexW4313575305

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.