Article ; Online: Analytical techniques for screening of cannabis and derivatives from human hair specimens.
Analytical methods : advancing methods and applications
2024 Volume 16, Issue 8, Page(s) 1133–1149
Abstract: Cannabis and associated substances are some of the most frequently abused drugs across the globe, mainly due to their anxiolytic and euphorigenic properties. Nowadays, the analysis of hair samples has been given high importance in forensic and analytical ...
Abstract | Cannabis and associated substances are some of the most frequently abused drugs across the globe, mainly due to their anxiolytic and euphorigenic properties. Nowadays, the analysis of hair samples has been given high importance in forensic and analytical sciences and in clinical studies because they are associated with a low risk of infection, do not require complicated storage conditions, and offer a broad window of non-invasive detection. Analysis of hair samples is very easy compared to the analysis of blood, urine, and saliva samples. This review places particular emphasis on methodologies of analyzing hair samples containing cannabis, with a special focus on the preparation of samples for analysis, which involves screening and extraction techniques, followed by confirmatory assays. Through this manuscript, we have presented an overview of the available literature on the screening of cannabis using mass spectroscopy techniques. We have presented a detailed overview of the advantages and disadvantages of this technique, to establish it as a suitable method for the analysis of cannabis from hair samples. |
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MeSH term(s) | Humans ; Cannabis ; Substance Abuse Detection/methods ; Hallucinogens/analysis ; Illicit Drugs/analysis ; Cannabinoid Receptor Agonists/analysis ; Hair/chemistry |
Chemical Substances | Hallucinogens ; Illicit Drugs ; Cannabinoid Receptor Agonists |
Language | English |
Publishing date | 2024-02-22 |
Publishing country | England |
Document type | Journal Article ; Review |
ZDB-ID | 2515210-5 |
ISSN | 1759-9679 ; 1759-9660 |
ISSN (online) | 1759-9679 |
ISSN | 1759-9660 |
DOI | 10.1039/d3ay00786c |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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