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Marijuana use may double the risk of accidents for drivers, study finds

Date:
October 7, 2011
Source:
Columbia University's Mailman School of Public Health
Summary:
Researchers have found that drivers who test positive for marijuana or report driving within three hours of marijuana use are more than twice as likely as other drivers to be involved in motor vehicle crashes. The researchers also found evidence that crash risk increases with the concentration of marijuana-produced compounds in the urine and the frequency of self-reported marijuana use.
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FULL STORY

Over 10 million people age 12 or older are estimated to have driven under the influence of illicit drugs in the prior year, according to a 2009 National Survey on Drug Use and Health. While marijuana is the most commonly detected non-alcohol drug in drivers, its role in causing crashes has remained in question.

To examine the link between marijuana use by drivers and risk of a car accident, researchers at Columbia University did a meta-analysis of nine epidemiologic studies and found that drivers who test positive for marijuana or report driving within three hours of marijuana use are more than twice as likely as other drivers to be involved in motor vehicle crashes. The researchers also found evidence that crash risk increases with the concentration of marijuana-produced compounds in the urine and the frequency of self-reported marijuana use.

According to the investigators 8 of 9 studies found that drivers who use marijuana are significantly more likely to be involved in crashes than drivers who do not. Only one small case-control study conducted in Thailand, where the prevalence of marijuana use is far lower than reported elsewhere, was the exception.

Full study findings are published online in Epidemiologic Reviews.

The analysis indicates that 28% of fatally injured drivers and more than 11% of the general driver population tested positive for non-alcohol drugs, with marijuana being the most commonly detected substance.

Guohua Li, MD, DrPh, professor of Epidemiology at Columbia University's Mailman School of Public Health, and senior author points out that although this analysis provides compelling evidence for an association between marijuana use and crash risk, one should be cautious in inferring causality from these epidemiologic data alone. However, "if the crash risk associated with marijuana is confirmed by further research, this is likely to have major implications for driving safety and public policy. It also would play a critical role in informing policy on the use of medical marijuana."

"Given the ongoing epidemic of drug-impaired driving and the increased permissibility and accessibility of marijuana for medical use in the U.S., it is urgent that we better understand the role of marijuana in causing car accidents."

Study co-authors from the Department of Epidemiology are Dr. Charles DiMaggio, associate professor; Joanne Brady, PhD candidate; and Keane Tzong, MPH candidate.

The research was supported by the National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health.


Story Source:

Materials provided by Columbia University's Mailman School of Public Health. Note: Content may be edited for style and length.


Journal Reference:

  1. M.-C. Li, J. E. Brady, C. J. DiMaggio, A. R. Lusardi, K. Y. Tzong, G. Li. Marijuana Use and Motor Vehicle Crashes. Epidemiologic Reviews, 2011; DOI: 10.1093/epirev/mxr017

Cite This Page:

Columbia University's Mailman School of Public Health. "Marijuana use may double the risk of accidents for drivers, study finds." ScienceDaily. ScienceDaily, 7 October 2011. <www.sciencedaily.com/releases/2011/10/111006173453.htm>.
Columbia University's Mailman School of Public Health. (2011, October 7). Marijuana use may double the risk of accidents for drivers, study finds. ScienceDaily. Retrieved November 21, 2024 from www.sciencedaily.com/releases/2011/10/111006173453.htm
Columbia University's Mailman School of Public Health. "Marijuana use may double the risk of accidents for drivers, study finds." ScienceDaily. www.sciencedaily.com/releases/2011/10/111006173453.htm (accessed November 21, 2024).

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