Advancing Drugged Driving Data at the State Level: Synthesis of Barriers and Expert Panel Recommendations
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This fact sheet from the AAA Foundation for Traffic Safety addresses the critical gap in state-level data regarding drugged driving in the United States. While drugged driving is defined broadly to include driving with any detectable amount of illegal drugs or impairing prescription and over-the-counter medications, existing state data is largely insufficient for measuring prevalence, tracking incidents, or evaluating the impact of legislative changes. The primary objective of this project was to identify the significant barriers impeding the collection and compilation of such data and to recommend strategies for improvement. The methodology involved a two-step process. First, a literature synthesis was conducted to identify barriers preventing states from quantifying the nature and extent of drugged driving. Second, these findings were presented to an expert panel, which met to discuss the barriers, evaluate potential solutions, and prioritize recommendations through discussion and voting. The resulting report presents a revised synthesis of barriers and a prioritized list of recommendations based on this expert consensus. The analysis identified three primary categories of barriers: obstacles to obtaining toxicological data, barriers to collecting drugged driving arrest, adjudication, and crash data, and limitations in data regarding the prevalence of drugged driving. To address these issues, the expert panel issued several high-priority recommendations. These include mandating that all law enforcement officers receive training in Standardized Field Sobriety Tests (SFST) and the NHTSA “Drugs that Impair Driving” curriculum. States are urged to authorize drug and alcohol testing for all Driving Under the Influence (DUI) arrestees and to update data systems to distinguish among impaired-driving offenses. Additionally, the panel recommended developing national model specifications for oral fluid drug test devices and optimizing their use by law enforcement. Crucially, implied consent laws should be expanded to cover drugs other than alcohol, supporting the collection of blood or oral fluid samples, with suspects prohibited from choosing the type of test administered. Medium-priority recommendations focus on federal and systemic improvements. The panel advised Congress to reauthorize federal funds for roadside surveys and urged NHTSA to endorse specific toxicology testing recommendations for crash investigations. Research into more sensitive behavioral tests for identifying impairment was also supported. Furthermore, states should mandate alcohol and drug testing for all surviving drivers in fatal and serious injury crashes, as well as for fatally injured drivers. Data reporting standards, such as the Model Minimum Uniform Crash Criteria (MMUCC) and Fatality Analysis Reporting System (FARS), should be revised to record specific drugs tested, quantitative results, and specimen types. Finally, the panel recommended that sanctions for refusing to provide samples be at least as severe as those for testing positive, and that Drug Evaluation and Classification programs be better implemented.
Key finding
A literature synthesis and expert panel identified three major barrier categories—toxicological data, arrest/adjudication/crash data, and prevalence data—and prioritized high-level recommendations including universal SFST and drug-impairment curriculum training for law enforcement, mandatory biological testing for all DUI arrestees, national oral-fluid device specifications, implied-consent laws extending to drugs, and state data-system updates to distinguish impaired-driving offenses.
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_aaa_foundation on 2026-05-23 (5 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | aaa_foundation | — | — | 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 | 2 | 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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
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).
- Applied Guidance: policy recommendations
- Empirical Findings: observational prevalence
- Methodological Resource: dataset resource