Observational study of visual testing efficacy in detecting cannabis usage

Authors

  • Phillip Olla Audacia Bioscience
  • Mustafa Abumeeiz Audacia Bioscience
  • Lauren Elliott Audacia Bioscience, Windsor, ON, Canada.
  • Rachel Foote Audacia Bioscience, Windsor, ON, Canada.
  • Mialynn Lee-Daigle Audacia Bioscience, Windsor, ON, Canada.
  • Stephen Bartol Audacia Bioscience, Windsor, ON, Canada.
  • Laszlo Erdodi Department of Psychology, University of Windsor, Windsor, Ontario, Canada.

DOI:

https://doi.org/10.35502/jcswb.176

Keywords:

Medical cannabis, impaired driving, drug recognition expert

Abstract

Drug recognition and examination programs are widely used to detect drug impairment in motor vehicle operators. Visual tests are a key assessment in the detection of cannabis-related impairment. Participants were recruited via social media from the medical cannabis community in Southwestern Ontario, Canada. Twenty-two participants completed the full observational trial design. The majority (n = 13 or 59.1%) were male, with a mean age of 36 years (SD = 9.4; range: 24–59). Participants underwent the following protocol: 1) First round of testing (vital signs, bio sample collection, visual tests, subjective data, neurocognitive testing) (Baseline phase); 2) Consumption of cannabis via inhalation; 3) Second round of testing 30 minutes following consumption (THC phase); 4) Additional rounds of testing at 90, 150, and 210 minutes following consumption (Recovery phase). Visual assessment data and vital signs did not follow typical patterns associated with acute cannabis intoxication. With blood THC levels more than double the Canadian legal limit (5 ng/mL), visual testing results were not diagnostic for cannabis impairment, as participants maintained normal pupil sizes and normal ocular convergence patterns. Visual testing is a key component in standardized examinations used for detecting cannabis-related impairment in Canadian drivers; however, our data indicate that visual testing may not be an effective diagnostic tool for the specific population of medical cannabis users.

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Published

2021-06-16

How to Cite

Olla, P., Abumeeiz, M., Elliott, L., Foote, R., Lee-Daigle, M., Bartol, S., & Erdodi, L. (2021). Observational study of visual testing efficacy in detecting cannabis usage. Journal of Community Safety and Well-Being, 6(2), 83–92. https://doi.org/10.35502/jcswb.176

Issue

Section

Original Research