Evidence map›Paper›PMID 41313623›Full record

ArticleJMIR research protocols2025

An Open-Road Driving Performance Task to Examine Long-Term Medical Marijuana Use and Prescription Opioid Positivity Among Adults Aged 50 Years and Older: Protocol for an Observational Trial.

Nicole Ennis, Sherrilene Classen

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06995937 (An Open Road Driving Performance Task to Examine Long-term Medical Marijuana Use and Prescription Opioid Positivity in Adults 50 and Older), which is not on this 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.

NCT06995937 recruitingnot on this map

An Open Road Driving Performance Task to Examine Long-term Medical Marijuana Use and Prescription Opioid Positivity in Adults 50 and Older

TypeobservationalSponsorFlorida State UniversityRan2025 to 2029Enrolled250ConditionsMedical Cannabis
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.

Nicole Ennis *Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL, United States.ORCID 0000-0003-4556-6473
Sherrilene Classen *Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-0927-0344

Funding

An open road driving performance task to examine long-term medical marijuana use and prescription opioid positivity in adults 50 and olderR01DA057965 · NIDA · FLORIDA STATE UNIVERSITY · PI Nicole Ennis, Hongwu Wang · 2024 to 2026
$2.1M
NIDA NIH HHS R01 DA057965
6 · The paper itself

Abstract

backgroundDriving performance involves multiple underlying components of psychomotor functioning, such as attention, executive functions, and vehicle control. While the effects of acute medical marijuana and prescription opioid intoxication are known, how long-term use of medical marijuana under real-world conditions affects driving performance is unknown. Additionally, there are numerous ongoing physical and cognitive changes that affect driving performance with age. Given the proliferation of medical marijuana and prescription opioid use in adults aged 50 years and older, the prevalence of polypharmacy, and declining functional abilities, it is imperative to understand the long-term effects of daily medical marijuana use. Further, we need to understand how co-occurring use of medical marijuana and prescription opioids, in the presence of comorbidities such as chronic pain, affects real-world driving outcomes.

objectiveThis study aims to document the observational trial protocol. The primary goal of this study is to identify the effects of daily long-term (ie, use for >12 months daily or most days of the week) medical marijuana use on driving performance outcomes using an open-road driving performance task under real-world conditions in adults aged 50 years and older who endorse chronic or severe nonmalignant pain and to examine the combined effect of daily long-term medical marijuana use and prescription opioid use on driving outcomes. A secondary goal is to qualitatively explore self-regulation of medical marijuana and prescription opioid use in this population.

methodsWe plan to test medical marijuana use as the exposure variable in adults aged 50 years and older on an open-road driving task performance as the primary outcome. The study will detail tetrahydrocannabinol exposure through ecological momentary assessment and urinalysis and will compare performance with a race-sex-matched group of non-marijuana users.

resultsThis study is funded by a grant from the National Institute on Drug Abuse (5R01DA057965). Recruitment began on May 19, 2025. As of November 2025, a total of 30 participants had been enrolled. Recruitment is anticipated to be completed by 2029. Publication of the complete results and data from this study is expected by 2030.

conclusionsData from this study will identify the effects of long-term medical marijuana use and the combined effect of that use with prescription opioids to develop risk screening protocols and intervention targets for this population. The development and dissemination of screening and intervention guidelines will be the next step in this work.

trial registrationClinicalTrials.gov NCT06995937; https://www.clinicaltrials.gov/study/NCT06995937. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/77944.

Indexed as

Analgesics, OpioidAutomobile DrivingMedical MarijuanaPsychomotor PerformanceAgedChronic PainFemaleHumansMaleMiddle AgedObservational Studies as TopicAnalgesics, OpioidMedical Marijuanachronic paindrivingmedical marijuanaolder adultsopioids

Identifiers

PMID41313623
PMCPMC12701343

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Registered trials

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.