Evidence map›Paper›PMID 38996642›Full record

ArticleThe International journal on drug policy2024

Higher unemployment benefits are associated with reduced drug overdose mortality in the United States before and during the COVID-19 pandemic.

Silvia S Martins, Luis E Segura, Megan E Marziali, Emilie Bruzelius, Natalie S Levy, Sarah Gutkind, Kristen Santarin, Katherine Sacks, Ashley Fox

Abstract read
In one paragraph

Article in The International journal on drug policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States. Electronic address: ssm2183@cumc.columbia.edu.
Luis E SeguraDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Megan E MarzialiDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Emilie BruzeliusDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Natalie S LevyDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Sarah GutkindDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Kristen SantarinDepartment of Epidemiology, Columbia University Mailman School of Public Health, United States.
Katherine SacksMilken Institute, United States.
Ashley FoxDepartment of Public Administration and Policy, Rockefeller College of Public Affairs and Policy, University at Albany, SUNY, United States.

Funding

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
Social safety net programs as interventions to reduce opioid-related harms in reproductive-age womenR01DA059376 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Silvia Saboia Martins · 2023 to 2026
$3.2M
NIDA NIH HHS R01 DA059376NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

objectivesOverdose mortality rates in the United States remain critical to population health. Economic , such as unemployment, are noted risk factors for drug overdoses. The COVID-19 pandemic exacerbated economic hardship; as a result, the US government enacted income protection programs in conjunction with existing unemployment insurance (UI) to dampen COVID-19-related economic consequences. We investigate whether UI, operationalized as the weekly benefit allowance (WBA) replacement rate, is negatively associated with drug-related overdoses.

methodsData from the pooled 2014-2020 Detailed Restricted Mortality files for all counties from the Centers for Disease Control and Prevention, restricted to people ≥18 years of age, aggregated at the county-quarter level (n = 89,914). We included any fatal drug, opioid, and stimulant overdose. We modeled the association between WBA replacement rate (e.g., a greater proportion of weekly earnings replaced by UI) on each county-level age-adjusted mortality outcome using separate linear regression models during 2014-2020, pre-COVID (2014-2018), and post-COVID (2019-2020). We conducted sensitivity analyses using multi-level linear regression models.

resultsResults indicated that a more robust WBA replacement rate any drug (Risk Difference [RD]: -0.06, 95 % Confidence Interval [CI]: -0.08, -0.05), opioid (RD: -0.04, 95 % CI: -0.06, -0.03), and stimulant (RD: -0.03, 95 % CI: -0.04, -0.02) across the entire study period (2014-2020). A more robust WBA replacement rate was associated with fewer fatal drug, opioid and stimulant overdoses in the pre-COVID-19 period and on fatal any drug and stimulant overdoses in the COVID-19 period.

conclusionsFindings support the notion that income protection policies, such as robust UI, can have a supportive role in preventing fatal drug overdoses, calling for a broader discussion onthe role of the safety net programs to buffer drug-related harms.

Indexed as

COVID-19Drug OverdoseUnemploymentAdolescentAdultFemaleHumansMaleMiddle AgedUnited StatesYoung AdultCOVID-19Drug mortalityDrug-related overdosesUnemployment insurance

Identifiers

PMID38996642
PMCPMC11347091

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.