Correlation of Breath and Blood Δ


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
09 2019
Historique:
received: 14 03 2019
accepted: 18 06 2019
pubmed: 13 7 2019
medline: 23 5 2020
entrez: 13 7 2019
Statut: ppublish

Résumé

Cannabis use results in impaired driving and an increased risk of motor vehicle crashes. Cannabinoid concentrations in blood and other matrices can remain high long after use, prohibiting the differentiation between acute and chronic exposure. Exhaled breath has been proposed as an alternative matrix in which concentrations may more closely correspond to the window of impairment; however, efficient capture and analytically sensitive detection methods are required for measurement. Timed blood and breath samples were collected from 20 volunteers before and after controlled administration of smoked cannabis. Cannabinoid concentrations were measured using LC-MS/MS to determine release kinetics and correlation between the 2 matrices. Δ9-Tetrahydrocannabinol (THC) was detected in exhaled breath for all individuals at baseline through 3 h after cannabis use. THC concentrations in breath were highest at the 15-min timepoint (median = 17.8 pg/L) and declined to <5% of this concentration in all participants 3 h after smoking. The decay curve kinetics observed for blood and breath were highly correlated within individuals and across the population. THC can be reliably detected throughout the presumed 3-h impairment window following controlled administration of smoked cannabis. The findings support breath THC concentrations as representing a physiological process and are correlated to blood concentrations, albeit with a shorter window of detection.

Sections du résumé

BACKGROUND
Cannabis use results in impaired driving and an increased risk of motor vehicle crashes. Cannabinoid concentrations in blood and other matrices can remain high long after use, prohibiting the differentiation between acute and chronic exposure. Exhaled breath has been proposed as an alternative matrix in which concentrations may more closely correspond to the window of impairment; however, efficient capture and analytically sensitive detection methods are required for measurement.
METHODS
Timed blood and breath samples were collected from 20 volunteers before and after controlled administration of smoked cannabis. Cannabinoid concentrations were measured using LC-MS/MS to determine release kinetics and correlation between the 2 matrices.
RESULTS
Δ9-Tetrahydrocannabinol (THC) was detected in exhaled breath for all individuals at baseline through 3 h after cannabis use. THC concentrations in breath were highest at the 15-min timepoint (median = 17.8 pg/L) and declined to <5% of this concentration in all participants 3 h after smoking. The decay curve kinetics observed for blood and breath were highly correlated within individuals and across the population.
CONCLUSIONS
THC can be reliably detected throughout the presumed 3-h impairment window following controlled administration of smoked cannabis. The findings support breath THC concentrations as representing a physiological process and are correlated to blood concentrations, albeit with a shorter window of detection.

Identifiants

pubmed: 31296552
pii: clinchem.2019.304501
doi: 10.1373/clinchem.2019.304501
doi:

Substances chimiques

Dronabinol 7J8897W37S

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1171-1179

Informations de copyright

© 2019 American Association for Clinical Chemistry.

Auteurs

Kara L Lynch (KL)

Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA. kara.lynch@ucsf.edu.

Y Ruben Luo (YR)

Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA.

Shirin Hooshfar (S)

Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA.

Cassandra Yun (C)

Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA.

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Classifications MeSH