Literature DB >> 27107471

Drug Recognition Expert (DRE) examination characteristics of cannabis impairment.

Rebecca L Hartman1, Jack E Richman2, Charles E Hayes3, Marilyn A Huestis4.   

Abstract

BACKGROUND: The Drug Evaluation and Classification Program (DECP) is commonly utilized in driving under the influence (DUI) cases to help determine category(ies) of impairing drug(s) present in drivers. Cannabis, one of the categories, is associated with approximately doubled crash risk. Our objective was to determine the most reliable DECP metrics for identifying cannabis-driving impairment.
METHODS: We evaluated 302 toxicologically-confirmed (blood Δ(9)-tetrahydrocannabinol [THC] ≥1μg/L) cannabis-only DECP cases, wherein examiners successfully identified cannabis, compared to normative data (302 non-impaired individuals). Physiological measures, pupil size/light reaction, and performance on psychophysical tests (one leg stand [OLS], walk and turn [WAT], finger to nose [FTN], Modified Romberg Balance [MRB]) were included.
RESULTS: Cases significantly differed from controls (p<0.05) in pulse (increased), systolic blood pressure (elevated), and pupil size (dilated). Blood collection time after arrest significantly decreased THC concentrations; no significant differences were detected between cases with blood THC <5μg/L versus ≥5μg/L. The FTN best predicted cannabis impairment (sensitivity, specificity, positive/negative predictive value, and efficiency ≥87.1%) utilizing ≥3 misses as the deciding criterion; MRB eyelid tremors produced ≥86.1% for all diagnostic characteristics. Other strong indicators included OLS sway, ≥2 WAT clues, and pupil rebound dilation. Requiring ≥2/4 of: ≥3 FTN misses, MRB eyelid tremors, ≥2 OLS clues, and/or ≥2 WAT clues produced the best results (all characteristics ≥96.7%).
CONCLUSIONS: Blood specimens should be collected as early as possible. The frequently-debated 5μg/L blood THC per se cutoff showed limited relevance. Combined observations on psychophysical and eye exams produced the best cannabis-impairment indicators. Published by Elsevier Ltd.

Entities:  

Keywords:  Cannabis; Driving; Drug Evaluation and Classification Program; Drug Recognition Expert; Impairment; THC

Mesh:

Substances:

Year:  2016        PMID: 27107471     DOI: 10.1016/j.aap.2016.04.012

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  14 in total

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2.  Marijuana and the Risk of Fatal Car Crashes: What Can We Learn from FARS and NRS Data?

Authors:  Eduardo Romano; Pedro Torres-Saavedra; Robert B Voas; John H Lacey
Journal:  J Prim Prev       Date:  2017-06

3.  Exploring substance use and impaired driving among adults aged 21 years and older in the United States, 2015.

Authors:  Amy Jewett; Alexis B Peterson; Erin K Sauber-Schatz
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4.  Preliminary Eye-Tracking Data as a Nonintrusive Marker for Blood Δ-9-Tetrahydrocannabinol Concentration and Drugged Driving.

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Review 6.  A Judicial Perspective on Expert Testimony in Marijuana Driving Cases.

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Journal:  J Med Toxicol       Date:  2016-08-19

Review 7.  Eyeing up the Future of the Pupillary Light Reflex in Neurodiagnostics.

Authors:  Charlotte A Hall; Robert P Chilcott
Journal:  Diagnostics (Basel)       Date:  2018-03-13

8.  Sensitivity, Specificity and Accuracy of a Novel EEG-Based Objective Test, the Cognalyzer®, in Detecting Cannabis Psychoactive Effects.

Authors:  Alison C McDonald; Israel Gasperin Haaz; Weikai Qi; David C Crowley; Najla Guthrie; Malkanthi Evans; Dan Bosnyak
Journal:  Adv Ther       Date:  2021-04-07       Impact factor: 3.845

9.  The Association of Unfavorable Traffic Events and Cannabis Usage: A Meta-Analysis.

Authors:  Sorin Hostiuc; Alin Moldoveanu; Ionuţ Negoi; Eduard Drima
Journal:  Front Pharmacol       Date:  2018-02-12       Impact factor: 5.810

10.  Are the Preliminary Impairment Tests used by UK police fit for purpose?

Authors:  Gavin Trotter; Rhian Skinner; Brian Rooney
Journal:  Med Sci Law       Date:  2020-10-22       Impact factor: 1.266

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