Evidence map›Paper›PMID 41167126›Full record

ArticleJournal of health economics2025

From addiction to aggression: The spillover effects of opioid policies on intimate partner violence.

Dhaval Dave, Bilge Erten, Pinar Keskin, Shuo Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of health economics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Dhaval DaveDepartment of Economics, 175 Forest Street, Bentley University, Waltham, MA 02452, United States of America; NBER, United States of America. Electronic address: ddave@bentley.edu.
Bilge ErtenDepartment of Economics, 43 Leon Street, 312A Lake Hall, Northeastern University, Boston, MA 02115, United States of America; IZA, Germany. Electronic address: b.erten@northeastern.edu.
Pinar KeskinIZA, Germany; Department of Economics, Pendleton East, Wellesley College, 106 Central Street, Wellesley, MA 02481, United States of America. Electronic address: pinar.keskin@wellesley.edu.
Shuo ZhangDepartment of Economics, 43 Leon Street, 319 Lake Hall, Northeastern University, Boston, MA 02115, United States of America. Electronic address: s.zhang@northeastern.edu.

Funding

Spillover Effects of Policies Targeting Opioid Abuse on Intimate Partner ViolenceR21DA058849 · NIDA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI DAVE, DHAVAL M. · 2024 to 2025
$439k
NIDA NIH HHS R21 DA058849
6 · The paper itself

Abstract

Substance abuse is a major risk factor for intimate partner violence (IPV). We investigate how a key supply-side intervention - the abuse-deterrent reformulation of a widely-diverted opioid, OxyContin - affected IPV. Our results indicate counties with greater baseline rates of prescription opioid usage experienced relatively larger declines in IPV after OxyContin's reformulation. The reformulation reduced IPV only in states with smaller illicit drug markets, while states with larger illicit drug markets experienced increased heroin-involved IPV due to substitution towards illicit opioids. Our results underscore the importance of identifying populations at high risk of substitution to illicit opioids and moderating this risk with evidence-based policies.

Indexed as

AggressionAnalgesics, OpioidIntimate Partner ViolenceOpioid-Related DisordersOxycodoneAdultFemaleHumansMaleRisk FactorsUnited StatesAnalgesics, OpioidOxycodoneIllicit market activityIntimate partner violenceOpioid addictionThe United States

Identifiers

PMID41167126
PMCPMC12834516

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.