Evidence map›Paper›PMID 42367517›Full record

ArticleCureus2026

Recreational Cannabis Legalization and Traffic Fatality Rates in the United States, 2005-2024: An Imputation-Based Difference-in-Differences Event Study.

Jose A Acosta, Israel Alvarado

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jose A AcostaBasic Sciences, Ponce Health Sciences University, St. Louis, USA.
Israel AlvaradoMedical Biochemistry and Microbiology, Ponce Health Sciences University, St. Louis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Recreational cannabis legalization has expanded rapidly in the United States; however, population-level analyses examining its association with traffic fatalities yield mixed results. These heterogeneous findings arise from methodological limitations, including short follow-up windows, a focus on early-adopting states, and methods that do not adequately account for staggered policy adoption. Methods We analyzed a 50-state panel (2005-2024) using an imputation-based difference-in-differences estimator designed for staggered policy adoption. The outcome was the log traffic fatality rate per one billion vehicle miles traveled. We estimated effects from the year of legalization through year four, with four pre-treatment years to assess parallel trends. The primary model included state- and year-fixed effects and controlled for demographic composition, weather (precipitation and annual average temperature), unemployment, traffic safety laws, and COVID-19 mortality. Sensitivity analyses estimated robustness by varying the sample composition (excluding early adopters, pandemic years, and Florida), modifying the treatment definition (legalization effective date vs. retail sales start), and including Poisson count-model replication. Results The panel included 1,000 state-year observations; the primary difference-in-differences analysis used 951 observations meeting all inclusion criteria. Post-legalization, traffic fatality rates increased by approximately 4.2% in the legalization year (τ=0: 0.041; 95% confidence interval (CI): 0.006, 0.077; p=0.022) and 6.1% by year four (τ=4: 0.060; 95% CI: 0.007, 0.112; p=0.027). Pre-treatment trends were parallel between treatment and control groups (joint test: χ²(4)=4.93; p=0.295), and the post-legalization increase was statistically significant overall (joint test: χ²(5)=11.56; p=0.041). Findings remained consistent when excluding early-adopting states, pandemic years, or Florida, and a Poisson count-model replication produced the same direction and magnitude. When treatment was instead indexed to the start of retail sales, no increase was observed in the first year (τ = 0: 0.011; 95% CI: -0.027, 0.050), and the overall post-retail joint test did not reach conventional significance (

Indexed as

cannabis legalizationdifference-in-differencespolicy evaluationrecreational cannabisroad traffic fatalities

Identifiers

PMID42367517
PMCPMC13309090

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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.