Kuwayama K, Miyaguchi H, Kanamori T, Tsujikawa K, Yamamuro T, Segawa H, Okada Y, Iwata YT. Development of an improved method to estimate the days of continuous drug ingestion, based on the micro-segmental hair analysis.
Drug Test Anal 2021;
13:1295-1304. [PMID:
33682351 DOI:
10.1002/dta.3025]
[Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/12/2021] [Accepted: 03/04/2021] [Indexed: 01/15/2023]
Abstract
To prove drug-related crimes, it is important to estimate the date on which a specific drug was ingested. Previously, we developed a method, "micro-segmental hair analysis," to estimate the day of ingestion of a single-dose drug by segmenting a hair strand into 0.4-mm segments, which correspond to daily hair growth. In this study, the method was improved to estimate the days of continuous drug ingestion. The subjects ingested four hay-fever medicines (fexofenadine, epinastine, cetirizine, and loratadine) continuously (1-18 days) and chlorpheniramine as a single dose at intervals of several weeks as an internal temporal marker (ITM). The hair strands of the subjects were collected and subjected to a micro-segmental analysis. The distribution curves of each hay-fever medicine in a hair strand had broad peaks reflecting the number of days of drug ingestion. The positions on the curves corresponding to the first and final ingestion days of hay-fever medicines were identified using the ITM. The positions were near the hair segments on both ends of full width at half maximum (W2 ) of the broad peak. When the first and final days of continuous ingestion were estimated using W2 , independent of peak shape, the absolute average error from the actual ingestion days was approximately 2 days. Overall, we established a method to estimate the days of both single-dose and continuous drug ingestions. Furthermore, the method would be useful to investigate drug ingestion history in various scenes such as drug-related crimes and therapeutic drug monitoring.
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