A validated method for the simultaneous determination of psilocin, bufotenine, lysergic acid diethylamide and its metabolites in serum, plasma and urine using liquid chromatography-electrospray ionization/tandem mass spectrometry was developed. During the solid-phase extraction procedure with polymeric mixed-mode cation exchange columns, the unstable analytes were protected by ascorbic acid, drying with nitrogen and exclusion of light. The limits of detection and quantitation for all analytes were low. Recovery was ≥86 % for all analytes and no significant matrix effects were observed. Interday and intraday imprecisions at different concentrations ranged from 1.1 to 8.2 % relative standard deviation, bias was within ±5.3 %. Processed samples were stable in the autosampler for at least 2 days. Furthermore, freeze/thaw and long-term stability were investigated. The method was successfully applied to authentic serum and urine samples.
A method for the simultaneous extraction of the hallucinogens psilocin, bufotenine, lysergic acid diethylamide (LSD) as well as iso-LSD, nor-LSD and O-H-LSD from hair with hydrochloride acid and methanol is presented. Clean-up of the hair extracts is performed with solid phase extraction using a mixed-mode cation exchanger. Extracts are measured with liquid chromatography coupled with electrospray tandem mass spectrometry. The method was successfully validated according to the guidelines of the 'Society of Toxicological and Forensic Chemistry' (GTFCh). To obtain reference material hair was soaked in a solution of the analytes in dimethyl sulfoxide/methanol to allow incorporation into the hair. These fortified hair samples were used for method development and can be employed as quality controls.
The aim of this work was to develop and validate a solid-phase extraction (SPE) method for the analysis of cannabinoids with emphasis on a very extensive and effective matrix reduction in order to ensure constant good results in selectivity and sensitivity regardless of the applied measuring technology. This was obtained by the use of an anion exchange sorbent (AXS) and the purposive ionic interaction between matrix components and this sorbent material. In a first step, the neutral cannabinoids ∆9-tetrahydrocannabinol (THC) and 11-hydroxy-∆9-tetrahydrocannabinol (11-OH-THC) were eluted, leaving 11-nor-9-carboxy-∆9-tetrahydrocannabinol (THC-COOH) and the main interfering matrix components bound to the AXS. In a second step, exploiting differences in pH and polarity, it was possible to separate matrix components and THC-COOH, thereby yielding a clean elution of THC-COOH into the same collecting tube as THC and 11-OH-THC. Even when using a simple measuring technology like gas chromatography with single quadrupole mass spectrometry, this two-step elution allows for an obvious decrease in number and intensity of matrix interference in the chromatogram. Hence, in both plasma and serum, the AXS extracts resulted in very good selectivity. Limits of detection and limits of quantification were below 0.25 and 0.35 ng/mL for the neutral cannabinoids in both matrices, 2.0 and 3.0 ng/mL in plasma and 1.6 and 3.3 ng/mL in serum for THC-COOH. The recoveries were ≥79.8 % for all analytes. Interday and intraday imprecisions ranged from 0.8 to 6.1 % relative standard deviation, and accuracy bias ranged from -12.6 to 3.6 %.
While the impact of genetic polymorphisms on the metabolism of various pharmaceuticals is well known, more data are needed to better understand the specific influence of pharmacogenetics on the metabolism of delta 9-tetrahydocannabinol (Δ9-THC). Therefore, the aim of the study was to analyze the potential impact of variations in genes coding for phase I enzymes of the Δ9-THC metabolism. First, a multiplex assay for genotyping different variants of genes coding for phase I enzymes was developed and applied to 66 Δ9-THC-positive blood samples obtained in cases of driving under the influence of drugs (DUID). Genetic and demographic data as well as plasma concentrations of Δ9-THC, 11-hydroxy-Δ9-tetrahydrocannabinol (11-OH-Δ9-THC), and 11-nor-9-carboxy-Δ9-THC (Δ9-THC-COOH) were combined and statistically investigated. For cytochrome P450 2C19 (CYP2C19) variants, no differences in analyzed cannabinoid concentrations were found. There were also no differences in the concentrations of Δ9-THC and 11-OH-Δ9-THC for the different allelic CPY2C9 status. We recognized significantly lower Δ9-THC-COOH concentrations for CYP2C9*3 (p = 0.001) and a trend of lower Δ9-THC-COOH concentrations for CYP2C9*2 which did not reach statistical significance (p = 0.068). In addition, this study showed significantly higher values in the ratio of Δ9-THC/Δ9-THC-COOH for the carriers of the CYP2C9 variants CYP2C9*2 and CYP2C9*3 compared with the carriers of the corresponding wild-type alleles. Therefore, an impact of variations of the CYP2C9 gene on the interpretation of cannabinoid plasma concentrations in DUID cases should be considered.
The ∆9-tetrahydrocannabinol (THC) metabolites 8β-hydroxy-THC and 8β,11-dihydroxy-THC are mentioned in the literature as potential blood markers of recent cannabis use. However, the formation of these metabolites in in vivo detectable concentrations has been described controversially. Therefore, the aim of this study was to verify the in vivo metabolism of 8β-hydroxy-THC and 8β,11-dihydroxy-THC in order to evaluate their potential as blood markers of recent cannabis use. First, we developed and validated a solid-phase-extraction method coupled with gas chromatography-mass spectrometry in order to enable the selective and very sensitive determination of 8β-hydroxy-THC and 8β,11-dihydroxy-THC. The application of this method in the analysis of 70 authentic plasma samples of cannabis users revealed positive results for both analytes. We detected 8β-hydroxy-THC in three and 8β,11-dihydroxy-THC in 37 out of the 70 analyzed samples. For 8β-hydroxy-THC, all of the three positive results were below the limit of quantification (LOQ; 0.3 ng/mL) but above the limit of detection (LOD; 0.2 ng/mL). For 8β,11-dihydroxy-THC, only two positive results were below the LOQ (0.4 ng/mL) but above the LOD (0.3 ng/mL); the remaining 35 were quantified. Hence, we were able to prove the in vivo metabolism from THC to both 8β-hydroxy-THC and 8β,11-dihydroxy-THC in detectable concentrations. The quantitative comparison of 8β-hydroxy-THC and 8β,11-dihydroxy-THC with the main cannabinoids THC, 11-hydroxy-THC, and 11-nor-9-carboxy-THC revealed no further informative value for 8β-hydroxy-THC regarding the last time of cannabis consumption. However, the detectability from 8β,11-dihydroxy-THC compared to 11-hydroxy-THC suggests a shorter detection time for 8β,11-dihydroxy-THC and thereby a promising application of this metabolite as a blood marker of recent cannabis use.
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