Evidence map›Paper›PMID 39888329›Full record

ArticleHealth economics2025

Drug Decriminalization and Fatal Traffic Crashes: Evidence From BM110 in Oregon.

Christian Gunadi, Yuyan Shi

Abstract read
In one paragraph

Article in Health economics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Christian GunadiHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-3861-760X
Yuyan ShiHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA.

Funding

Using Behavioral Economics Approach to Examine Individual Preferences for Marijuana ProductsR01DA049730 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, YUYAN · 2020 to 2024
$3.5M
NIDA NIH HHS R01 DA049730
6 · The paper itself

Abstract

Oregon Ballot Measure 110 (BM 110) reduced the penalties for non-commercial possession of a controlled substance, downgrading them from a felony or misdemeanor to a new Class E violation, punishable by a maximum $100 fine. In this paper, we investigate whether BM 110 was associated with changes in drug-related fatal traffic crashes in Oregon after its implementation in February 2021. To do so, we used Fatality Analysis Reporting System (FARS) data from 2018 to 2021 to calculate population-adjusted state-level drug-related fatal traffic crashes. We also employed a modified synthetic control method to create a "synthetic" Oregon, designed to closely resemble the state's pre-policy sociodemographic characteristics and outcome trends while correcting for time-invariant pre-policy differences. The findings show that BM 110 was not associated with changes in drug-related fatal traffic crashes per 100,000 population (0.114, 95% CI: -0.106, 0.334). These results suggest that the implementation of BM 110 did not change drug-related fatal traffic crashes in Oregon in the early period following its adoption.

Indexed as

Accidents, TrafficDrug and Narcotic ControlAdolescentAdultFemaleHumansMaleMiddle AgedOregonYoung Adultdrug decriminalizationfatal traffic crashessynthetic control method

Identifiers

PMID39888329
PMCPMC11961312

What OpenQuestion holds

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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.