The Role of Alcohol, Marijuana, and Other Drugs in the Accidents of Injured Drivers. Volume 1, Findings
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Summary
This study, conducted for the National Highway Traffic Safety Administration (NHTSA), investigates the role of alcohol, marijuana (THC), and other drugs in motor vehicle accidents involving injured drivers. The research was motivated by the established link between alcohol impairment and crash risk, contrasted with a significant lack of definitive data regarding the incidence and causal role of other substances in highway safety. The primary objectives were to determine the incidence rates of specific drugs in injured drivers, assess driver culpability, identify behavioral errors and environmental factors associated with substance use, and develop "alcohol accident types" to aid in detection and countermeasure development. The study utilized a sample of 497 injured drivers treated at Rochester General Hospital in New York. Blood samples were analyzed for ethanol, THC, and other drugs, including tranquilizers. Accident data were collected through police reports and driver interviews to determine collision types, crash circumstances, and driver culpability. The analytic strategy involved comparing substance-involved drivers against drug-free drivers to identify overrepresented crash characteristics and culpability rates. The findings revealed that 38% of the drivers had alcohol or other tested drugs in their systems. Alcohol was the most prevalent substance (25%), followed by THC (10%) and tranquilizers (8%). Driver culpability rates varied significantly by substance: 74% for intoxicated drivers, 53% for THC-only drivers, 34% for drug-free drivers, and 22% for tranquilizer-only drivers. Alcohol-involved crashes were predominantly single-vehicle accidents, often occurring on curves, during weekends, between midnight and 6 AM, on unlighted streets, and at non-intersection locations. Specific "alcohol accident types" were identified, such as single-driver crashes on curves during early morning hours, which showed 95% alcohol involvement. No unique collision types were identified for THC or tranquilizer-only drivers. The significance of this study lies in its detailed characterization of alcohol-involved crashes, providing specific circumstances that can assist police in detecting impaired drivers and informing roadway and vehicle countermeasures. The results highlight the distinct crash patterns associated with alcohol, such as single-vehicle departures and night-time occurrences, suggesting impairments in attention, alertness, and visual capability. While the study confirmed the high incidence and culpability of alcohol, it also provided baseline data for THC and tranquilizers, though it noted the need for further research to clarify their specific crash roles. The findings support the development of targeted deterrence strategies and engineering solutions to mitigate the risks posed by impaired drivers.
Key finding
Intoxicated drivers had a 74% culpability rate compared to 34% for drug-free drivers, while THC-only drivers had a 53% culpability rate.
Methodology
naturalistic
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
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource