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This cohort study examines the association between medical cannabis product use and exposure to Δ9-tetrahydrocannabinol and cannabidiol by quantifying levels of their metabolites in urine . Research ...
, cannabinoid misuse is based on identification of the pharmacologically inactive metabolite 11‐nor‐delta‐9‐carboxy‐tetrahydrocannabinol‐9‐carboxylic acid (carboxy‐THC) in urine at a concentration greater than ...
, Sempio C, Barnes A, Huestis MA. Simultaneous quantification of eleven cannabinoids and metabolites in human urine by liquid chromatography tandem mass spectrometry using WAX-S tips . Anal Bioanal Chem 2016 ...
Abstract Among the abundance of cannabinoids identified in cannabis, the active parent drug, Δ9-tetrahydrocannabinol (Δ9-THC), and its oxidized metabolite , 11-nor-9-carboxy-Δ9-THC (Δ9-THCCOOH ...
methodologies for identification and quantification of multiple phytocannabinoids (including THC, cannabidiol , cannabigerol, and cannabichromene) and their precursors and/or metabolites in blood, plasma, serum ...
in vivo confirmatory testing via LC-MS analysis of authentic human biological specimens; high correlations between major metabolites identified in vitro and those found in vivo were reported. These findings ...
-glucuronide and THC-OH-glucuronide that are formed in the human liver in a manner similar to the formation of THC-COOH-glucuronide are distributed to the fluids and tissues of the body (7). The major metabolite ...
Abstract Cannabis products in which cannabidiol (CBD) is the primary chemical constituent (CBD-dominant) are increasingly popular and widely available. The impact of CBD exposure on urine drug ...
that in those jurisdictions where urine is still an acceptable matrix for impaired driving investigations, that the presence of cannabinoid metabolites would be assessed in the context of other information ...
characterized THC, 11-OH-THC, THCCOOH, cannabidiol , cannabinol, THC-glucuronide, and THCCOOH-glucuronide disposition in urine of frequent and occasional cannabis smokers, and we propose a model to predict recent ...
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