Drugged Driving Expert Panel Report: A Consensus Protocol for Assessing the Potential of Drugs to Impair Driving
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Summary
This report presents a consensus protocol developed by an expert panel convened by the National Highway Traffic Safety Administration (NHTSA) to assess the potential of drugs to impair driving. The initiative was motivated by the 2007 National Roadside Survey, which revealed significant drug prevalence among drivers, and a 2000 National Transportation Safety Board recommendation to establish a list of medications safe for use while operating a vehicle. The panel identified a critical barrier to creating such lists: the lack of a standardized, common protocol for evaluating drug impairment. Existing literature suffered from inconsistent methodologies, making it difficult to compare studies or accurately classify drugs based on their risk to driving safety. To address this, the panel proposed a structured, tiered assessment protocol involving parallel reviews of pharmacological/toxicological data, epidemiological evidence, and standardized behavioral assessments. The pharmacological review examines receptor chemistry, pharmacokinetics, adverse events, and drug interactions to predict impairment likelihood. The epidemiological review analyzes crash-risk statistics and prevalence data to identify drugs over-represented in accidents. Drugs flagged by these reviews are prioritized for a standardized behavioral assessment based on the Essential Driving Ability Domains (EDAD) model. This model identifies five critical domains for driving: alertness/arousal, attention and processing speed, reaction time/psychomotor functions, sensory-perceptual functions, and executive functions. The behavioral assessment component utilizes a comprehensive test battery designed to measure these specific domains. The panel established strict criteria for test inclusion, requiring measures to be standardized, reliable, valid, predictive of driving performance, and sensitive to drug effects. The protocol also incorporates driving tests, including driving simulators, closed-course studies, and over-the-road evaluations, to provide ecological validity. The report illustrates the application of this tiered protocol using cannabis and benzodiazepines as examples, demonstrating how pharmacological, epidemiological, and behavioral data converge to assess impairment risk. The significance of this work lies in providing a unified framework for evaluating drug-related driving impairment. By standardizing assessment methodologies, the protocol aims to facilitate better classification of drugs, leading to more meaningful precautions for patients and prescribers. This approach supports the development of informed prescribing practices and helps distinguish between medications that pose a hazard to driving and those that are safe, ultimately enhancing traffic safety and regulatory guidance.
Key finding
The expert panel established a tiered consensus protocol integrating pharmacological, toxicological, epidemiological, and standardized behavioral assessments to systematically evaluate the driving impairment potential of various drug classes.
Methodology
review
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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- Methodological Resource: validation psychometrics, measurement protocol
- Theoretical Contribution: computational model