The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Effects of Naloxone Access Laws on Opioid Abuse, Mortality, and Crime
Abstract
The United States is experiencing an epidemic of opioid abuse. In response, states have implemented policies including increased access to naloxone, a drug that can save lives when administered during an overdose. There is a concern that widespread naloxone access may unintentionally lead to increased or riskier opioid use by reducing the risk of death from overdose, however. In this paper, we use the staggered timing of state-level naloxone access laws as a natural experiment to measure the effects of broadening access to this lifesaving drug. We find that broadened access led to more opioid-related emergency room visits and more opioid-related theft, with no net measurable reduction in opioid-related mortality. We conclude that naloxone has a clear and important role in harm reduction, yet its ability to combat the opioid epidemic’s death toll may be limited without complementary efforts.
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Analyses of interventions intended to reduce overdose mortality or consequences of criminalization have similarly relied on models that did not account for the spread of fentanyl across the US.
“Analyses of interventions intended to reduce overdose mortality or the consequences of criminalization, ranging from increased naloxone distribution38 to relaxed state marijuana laws,39 have similarly relied on models that did not account for the spread of fentanyl across the US.”
From Drug Decriminalization, Fentanyl, and Fatal Overdoses in Oregon (2024) · cites this paper as [38]
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Cites
Difference-in-differences with variation in treatment timing
Goodman-Bacon, A. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.03.014 · Cited by 8,046
Geographic variation in opioid and heroin involved drug poisoning mortality rates
Ruhm, C. J. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.06.009 · Cited by 152
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Research works printed but not linked: 37
- 10.1001/jamainternmed.2019.0272 · DOI
- 10.1257/pol.20170082 · DOI
- 10.1111/ecoj.12451 · DOI
- 10.1086/261558 · DOI
- Black Bernard, Simulated Power Analyses for Observational Studies: An Application to the Affordable Care Act Medicaid Expansion. Working Paper No. 25568
- 10.1016/j.jue.2018.01.007 · DOI
- Borusyak Kirill, Revisiting Event Study Designs. Working paper
- 10.1257/pol.20160094 · DOI
- 10.1093/restud/rdv053 · DOI
- 10.1086/422978 · DOI
- 10.1162/003465303772815754 · DOI
- 10.1016/j.jhealeco.2012.11.003 · DOI
- 10.1016/j.drugalcdep.2015.10.013 · DOI
- 10.1515/bejeap-2020-0253 · DOI
- 10.52324/001c.7932 · DOI
- 10.1162/rest_a_00755 · DOI
- 10.1016/S0167-6296(97)00046-5 · DOI
- Hansen Benjamin, The Taxation of Recreational Marijuana: Evidence from Washington State. Working Paper No. 23632
- Kilby Angela, Opioids for the Masses: Welfare Tradeoffs in the Regulation of Narcotic Pain Medications. Working paper
- 10.2105/AJPH.2012.300989 · DOI
- 10.1162/qjec.121.3.1063 · DOI
- MacCoun Robert, Research on Drugs-Crime Linkages: The Next Generation. Pp. 65–95 in Toward a Drugs and Crime Research Agenda for the 21st Century
- Maclean Johanna Catherine, Economic Studies on the Opioid Crisis: A Review. Working Paper No. 28067
- Mallatt Justine, The Effect of Prescription Drug Monitoring Programs on Opioid Prescriptions and Heroin Crime Rates. Working paper
- 10.1016/j.addbeh.2018.03.014 · DOI
- 10.1056/NEJMsa1514387 · DOI
- 10.3368/jhr.51.2.0414-6298R1 · DOI · Paper page
- Moore Timothy J, 2021, Schnepel
- 10.1080/08897077.2015.1010032 · DOI
- Packham Analisa, Are Syringe Exchange Programs Helpful or Harmful? New Evidence in the Wake of the Opioid Epidemic. Working Paper No. 26111
- 10.1086/260352 · DOI
- Quinones Sam, 2015, Dreamland: The True Tale of America’s Opiate Epidemic.
- 10.1086/700703 · DOI
- 10.1111/add.14144 · DOI
- Schnell Molly, Physician Behavior in the Presence of a Secondary Market: The Case of Prescription Opioids. Working paper
- 10.1002/pam.21972 · DOI
- 10.1016/j.jpubeco.2014.12.008 · DOI
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Sorted by citations
Drug Decriminalization, Fentanyl, and Fatal Overdoses in Oregon
Zoorob, M. J., Park, J. N., Kral, A. H., Lambdin, B. H., & del Pozo, B. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.31612 · Cited by 52
Does drug decriminalization increase unintentional drug overdose deaths?
Spencer, N. (2023) · Journal of Health Economics · doi:10.1016/j.jhealeco.2023.102798 · Cited by 20
Metadata
- Authors
- Doleac, J. L., & Mukherjee, A.
- Affiliations
- Texas A&M University (US)
- University of Wisconsin–Madison (US)
- ORCID
- Mukherjee, Anita
- Venue
- The Journal of Law and Economics
- Publisher
- University of Chicago Press
- Published
- 2022-05-01
- Volume
- 65
- Issue
- 2
- Pages
- 211-238
- ISSN
- 0022-2186 (ISSN-L)
- 1537-5285
- OpenAlex
- W4294974554
- Cited by
- 68
- References
- 2
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 21 · 2023: 23 · 2022: 5
- FWCI
- 13.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Law and Economics (publishedVersion)
- bepress Legal Repository (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Keywords
- naloxone, opioid epidemic, opioid abuse, opioid-related deaths, harm reduction, drug policy, overdose prevention
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