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Detection of Nutmeg Abuse by Gas Chromatography - Mass Spectrometric Screening of Urine

Journal of Analytical Toxicology, ISSN: 1945-2403, Vol: 44, Issue: 1, Page: 103-108
2020
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Article Description

High doses of nutmeg (seeds from Myristica fragrans Houtt.) can be abused as a psychoactive drug due to phenylpropene ingredients. During controlled abstinence, e.g., in forensic psychiatric clinics, nutmeg abuse has to be distinguished from an ingestion of other spices having phenylpropene ingredients (e.g., black pepper or garden lovage) or unintentional low-dose nutmeg intake. The aim of this study was to develop an evaluation model for the estimation of time point and amount of nutmeg abuse and differentiation from ingestion of other spices or low doses of nutmeg based on the gas chromatographic-mass spectrometric (GC-MS) analysis of urine samples. A total of 3 volunteers ingested 1.5 g of freshly ground nutmeg. No symptoms were reported. Urine samples were collected for up to 3 days. In addition, 18 blank samples from volunteers with regular diet and 2 authentic samples from forensic psychiatry patients with supposed nutmeg abuse were analyzed. All samples were analyzed by GC-MS in full scan mode. Metabolites of the nutmeg ingredients safrole, myristicin and elemicin were identified via a library search. For semi-quantitative estimations, the area ratios of the analytes to the internal standard (MDMA-d5) were normalized to the creatinine concentration. Up to 8 different metabolites were detected for at least 18 hours after intake of 1.5 g of nutmeg. In the two authentic samples, the normalized area ratios of those metabolites were 0.5-14 times the maximum reached in the intake study. Two additional metabolites could be detected in authentic samples. Probably due to ingestion of other spices, 5 of the 8 metabolites after intake of 1.5 g of nutmeg were detected in blank urine samples as well. The intake of high doses of nutmeg can be differentiated from the ingestion of other spices or low doses of nutmeg via standard GC-MS analysis of urine and application of the proposed evaluation model.

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