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Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study

AIM: We conducted a responsibility analysis to determine whether drivers injured in motor vehicle collisions who test positive for Δ‐9‐tetrahydrocannabinol (THC) or other drugs are more likely to have contributed to the crash than those who test negative. DESIGN: Prospective case–control study. SETT...

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Autores principales: Brubacher, Jeffrey R., Chan, Herbert, Erdelyi, Shannon, Macdonald, Scott, Asbridge, Mark, Mann, Robert E., Eppler, Jeffrey, Lund, Adam, MacPherson, Andrew, Martz, Walter, Schreiber, William E., Brant, Rollin, Purssell, Roy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771478/
https://www.ncbi.nlm.nih.gov/pubmed/31106494
http://dx.doi.org/10.1111/add.14663
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author Brubacher, Jeffrey R.
Chan, Herbert
Erdelyi, Shannon
Macdonald, Scott
Asbridge, Mark
Mann, Robert E.
Eppler, Jeffrey
Lund, Adam
MacPherson, Andrew
Martz, Walter
Schreiber, William E.
Brant, Rollin
Purssell, Roy A.
author_facet Brubacher, Jeffrey R.
Chan, Herbert
Erdelyi, Shannon
Macdonald, Scott
Asbridge, Mark
Mann, Robert E.
Eppler, Jeffrey
Lund, Adam
MacPherson, Andrew
Martz, Walter
Schreiber, William E.
Brant, Rollin
Purssell, Roy A.
author_sort Brubacher, Jeffrey R.
collection PubMed
description AIM: We conducted a responsibility analysis to determine whether drivers injured in motor vehicle collisions who test positive for Δ‐9‐tetrahydrocannabinol (THC) or other drugs are more likely to have contributed to the crash than those who test negative. DESIGN: Prospective case–control study. SETTING: Trauma centres in British Columbia, Canada. PARTICIPANTS: Injured drivers who required blood tests for clinical purposes following a motor vehicle collision. MEASUREMENTS: Excess whole blood remaining after clinical use was obtained and broad‐spectrum toxicology testing performed. The analysis quantified alcohol and THC and gave semiquantitative levels of other impairing drugs and medications. Police crash reports were analysed to determine which drivers contributed to the crash (responsible) and which were ‘innocently involved’ (non‐responsible). We used unconditional logistic regression to determine the likelihood (odds ratio: OR) of crash responsibility in drivers with 0 < THC < 2 ng/ml, 2 ng/ml ≤ THC < 5 ng/ml and THC ≥ 5 ng/ml (all versus THC = 0 ng/ml). Risk estimates were adjusted for age, sex and presence of other impairing substances. FINDINGS: We obtained toxicology results on 3005 injured drivers and police reports on 2318. Alcohol was detected in 14.4% of drivers, THC in 8.3%, other drugs in 8.9% and sedating medications in 19.8%. There was no increased risk of crash responsibility in drivers with THC < 2 ng/ml or 2 ≤ THC < 5 ng/ml. In drivers with THC ≥ 5 ng/ml, the adjusted OR was 1.74 [95% confidence interval (CI) = 0.59–6.36; P = 0.35]. There was significantly increased risk of crash responsibility in drivers with blood alcohol concentration (BAC) ≥ 0.08% (OR = 6.00;95% CI = 3.87–9.75; P < 0.01), other recreational drugs detected (OR = 1.82;95% CI = 1.21–2.80; P < 0.01) or sedating medications detected (OR = 1.45; 95%CI = 1.11–1.91; P < 0.01). CONCLUSIONS: In this sample of non‐fatally injured motor vehicle drivers in British Columbia, Canada, there was no evidence of increased crash risk in drivers with Δ‐9‐tetrahydrocannabinol < 5 ng/ml and a statistically non‐significant increased risk of crash responsibility (odds ratio = 1.74) in drivers with Δ‐9‐tetrahydrocannabinol ≥ 5 ng/ml.
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spelling pubmed-67714782019-10-03 Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study Brubacher, Jeffrey R. Chan, Herbert Erdelyi, Shannon Macdonald, Scott Asbridge, Mark Mann, Robert E. Eppler, Jeffrey Lund, Adam MacPherson, Andrew Martz, Walter Schreiber, William E. Brant, Rollin Purssell, Roy A. Addiction Research Reports AIM: We conducted a responsibility analysis to determine whether drivers injured in motor vehicle collisions who test positive for Δ‐9‐tetrahydrocannabinol (THC) or other drugs are more likely to have contributed to the crash than those who test negative. DESIGN: Prospective case–control study. SETTING: Trauma centres in British Columbia, Canada. PARTICIPANTS: Injured drivers who required blood tests for clinical purposes following a motor vehicle collision. MEASUREMENTS: Excess whole blood remaining after clinical use was obtained and broad‐spectrum toxicology testing performed. The analysis quantified alcohol and THC and gave semiquantitative levels of other impairing drugs and medications. Police crash reports were analysed to determine which drivers contributed to the crash (responsible) and which were ‘innocently involved’ (non‐responsible). We used unconditional logistic regression to determine the likelihood (odds ratio: OR) of crash responsibility in drivers with 0 < THC < 2 ng/ml, 2 ng/ml ≤ THC < 5 ng/ml and THC ≥ 5 ng/ml (all versus THC = 0 ng/ml). Risk estimates were adjusted for age, sex and presence of other impairing substances. FINDINGS: We obtained toxicology results on 3005 injured drivers and police reports on 2318. Alcohol was detected in 14.4% of drivers, THC in 8.3%, other drugs in 8.9% and sedating medications in 19.8%. There was no increased risk of crash responsibility in drivers with THC < 2 ng/ml or 2 ≤ THC < 5 ng/ml. In drivers with THC ≥ 5 ng/ml, the adjusted OR was 1.74 [95% confidence interval (CI) = 0.59–6.36; P = 0.35]. There was significantly increased risk of crash responsibility in drivers with blood alcohol concentration (BAC) ≥ 0.08% (OR = 6.00;95% CI = 3.87–9.75; P < 0.01), other recreational drugs detected (OR = 1.82;95% CI = 1.21–2.80; P < 0.01) or sedating medications detected (OR = 1.45; 95%CI = 1.11–1.91; P < 0.01). CONCLUSIONS: In this sample of non‐fatally injured motor vehicle drivers in British Columbia, Canada, there was no evidence of increased crash risk in drivers with Δ‐9‐tetrahydrocannabinol < 5 ng/ml and a statistically non‐significant increased risk of crash responsibility (odds ratio = 1.74) in drivers with Δ‐9‐tetrahydrocannabinol ≥ 5 ng/ml. John Wiley and Sons Inc. 2019-07-03 2019-09 /pmc/articles/PMC6771478/ /pubmed/31106494 http://dx.doi.org/10.1111/add.14663 Text en © 2019 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Reports
Brubacher, Jeffrey R.
Chan, Herbert
Erdelyi, Shannon
Macdonald, Scott
Asbridge, Mark
Mann, Robert E.
Eppler, Jeffrey
Lund, Adam
MacPherson, Andrew
Martz, Walter
Schreiber, William E.
Brant, Rollin
Purssell, Roy A.
Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title_full Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title_fullStr Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title_full_unstemmed Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title_short Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
title_sort cannabis use as a risk factor for causing motor vehicle crashes: a prospective study
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771478/
https://www.ncbi.nlm.nih.gov/pubmed/31106494
http://dx.doi.org/10.1111/add.14663
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