Road traffic crash characteristics of drivers who take prescription medicines that carry a risk to driving
DOI: 10.1016/j.drugpo.2020.102929
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Summary
This study addresses a gap in road safety research by characterizing traffic crashes involving drivers under the influence of prescription medicines. While crash profiles for alcohol-impaired drivers are well-documented, similar data for prescription medication users were previously unavailable, hindering targeted prevention efforts. The authors aimed to describe these crash characteristics and compare them with those of alcohol-impaired and non-impaired drivers to better understand the specific risks associated with psychotropic medication use. The researchers utilized the CESIR project, a French record linkage study matching data from three national databases: police reports, the national police database of injurious crashes, and the national health care insurance database. The study included 201,497 drivers involved in injurious crashes in France between July 2005 and December 2015. Prescription medicine exposure was defined as the use of medications carrying the two highest levels of driving risk warnings, identified through reimbursement records. Crash responsibility was determined using a standardized scoring method based on road, vehicle, and driving conditions. Multinomial regression models adjusted for age and sex were used to analyze associations between substance use and various crash characteristics. The results revealed that crashes involving medicine users and alcohol users shared many similarities, including lower socioeconomic status, lighter vehicles, more severe injuries, and occurrences on two-way roads with curves. However, the strength of association with crash responsibility was significantly higher for alcohol (OR 9.5) than for medicines (OR 1.3). Distinct differences emerged in timing and location: alcohol-related crashes were over-represented during weekends and at night, whereas medicine-related crashes occurred more frequently during weekdays and in the morning. Additionally, alcohol crashes decreased with population density, while medicine crashes peaked in cities with populations between 50,000 and 300,000. Medicine users were also older, more likely to be retired, and more likely to be female compared to alcohol users. The study concludes that while prescription medicines carry a lower individual risk of causing a crash compared to alcohol, their higher prevalence of use makes them a significant "hidden factor" in road risk. The distinct temporal and spatial patterns of medicine-related crashes—specifically their occurrence during weekdays and in mid-sized cities—suggest that current roadside testing strategies, which often target weekends and nights, may miss this population. These findings imply that road safety interventions should be adapted to include specific time slots for checking medicine-impaired drivers and should focus on preventing driving under the influence of psychotropic medicines, particularly among older and retired populations.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-17 |
| archive | success | openalex | — | — | 5 | 2026-06-25 |
| extract | success | pdftotext | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | semantic_scholar | — | — | 4 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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Information type
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- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource