The Role Alcohol, Marijuana and Other Drugs in the Accidents of Injured Drivers [Conference Paper]
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Summary
This study investigates the incidence and causal role of alcohol, marijuana, and other drugs in motor vehicle accidents involving injured drivers. Motivated by significant gaps in research regarding non-fatal crashes and the specific impact of drugs other than alcohol, the authors aimed to determine substance prevalence in blood systems, assess driver culpability, and identify characteristic accident types associated with impairment. The research was conducted by Calspan Field Services, Inc., and the National Highway Traffic Safety Administration (NHTSA). The methodology involved collecting blood samples from 497 injured drivers treated at Rochester General Hospital in New York between 1979 and 1980. The sample was limited to drivers who consented to testing, a factor the authors note likely resulted in a conservative estimate of drug incidence. Blood samples were analyzed for ethanol, tetrahydrocannabinol (THC), tranquilizers, sedatives, cocaine, and other substances. Driver culpability was assessed by two independent coders using police reports and interviews, with coding performed blind to drug status to ensure reliability. The results indicated that 38% of the drivers had one or more substances in their system. Alcohol was the most prevalent, found in 25% of drivers, followed by THC in 9.5% and tranquilizers in 7.5%. Ten percent of drivers had ingested two or more substances. Legally intoxicated drivers (BAC ≥ 0.10%) exhibited the highest culpability rate at 74%, significantly higher than the 34% rate for drug-free drivers. Drivers with THC-only presence had a culpability rate of 53%, while those with tranquilizers had a lower rate of 22%. Alcohol-involved drivers were disproportionately involved in single-vehicle accidents and as the striking vehicle in rear-end and head-on crashes. The study identified a specific "alcohol accident type"—single-vehicle crashes on curves between midnight and 6 AM—which had a 95% incidence of alcohol involvement. The study concludes that alcohol remains a major highway safety problem, with impairment manifesting primarily as reduced alertness and tracking abilities in low-traffic conflict situations. Marijuana also appears to be a significant problem, though its impairment effects may be more subtle than alcohol. Tranquilizers did not show a significant safety risk in this sample, likely due to modest therapeutic dosages. The authors recommend developing "alcohol accident types" as proxy indicators for drunk driver detection and call for further research to determine crash risks associated with specific drug concentrations and combinations, particularly involving marijuana and tranquilizers.
Key finding
Legally intoxicated drivers had a 74 percent culpability rate compared to 34 percent for drug-free drivers, while THC-involved drivers had a 53 percent culpability rate.
Methodology
field_study
Sample size: 497
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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Information type
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- Empirical Findings: crash risk outcomes, observational prevalence