Evidence map›Paper›PMID 41223382›Full record

ArticleTraffic injury prevention2026

Edible cannabis use on simulated driving performance.

Nae Y Won, Sarah Bird, Julia Wrobel, Timothy Brown, Ashley Brooks-Russell

Abstract read
In one paragraph

Article in Traffic injury prevention, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

5 authors.

Nae Y WonDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-1755-7035
Sarah BirdDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado, USA.
Julia WrobelDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.
Timothy BrownDriving Safety Research Institute, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0001-7530-9801
Ashley Brooks-RussellInjury and Violence Prevention Center University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-7728-8423

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Rocky Mountain Cannabis Research CenterP50DA056408 · NIDA · UNIVERSITY OF COLORADO DENVER · PI Angela Bryan · 2023 to 2026
$14.0M
Novel approaches to assessing cannabis impaired drivingR01DA049800 · NIDA · UNIVERSITY OF COLORADO DENVER · PI BROOKS-RUSSELL, ASHLEY · 2020 to 2024
$2.6M
NIDA NIH HHS P50 DA056408NIDA NIH HHS R01 DA049800NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

objectiveTo assess driving performance after consuming edible cannabis using a driving simulator, examining frequency of use, THC dose, and rural versus urban settings.

methodsAdults in Denver, Colorado (

resultsDaily-use group drove slower than the occasional-use group (decrease in average speed from pretest of 2.49 mph (urban,

conclusionOur study found significant changes in driving performance following edible cannabis use, including findings related to effect duration, use frequency, and road settings. The occasional-use group showed greater impairment than daily-use group, suggesting tolerance contributes to outcomes beyond THC concentration alone.

Indexed as

Automobile DrivingCannabisColoradoComputer SimulationDronabinolFemaleHumansMiddle AgedRural PopulationUrban PopulationDronabinolcannabis impaired drivingcannabis usedriving performancedriving simulatordrug impaired drivingEdibles

Identifiers

PMID41223382
PMCPMC12967284

What OpenQuestion holds

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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.