Concentrations of aripiprazole and dehydroaripiprazole in hair segments from deceased individuals with mental disorders

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Segmental hair analysis provides information regarding previous long-term drug exposure, which is useful in the evaluation of cause of death for individuals with mental disorders. The aim was to analyze postmortem concentrations of the antipsychotic drug aripiprazole and its active metabolite dehydroaripiprazole in hair segments from individuals with known aripiprazole intake. Hair samples were collected during autopsy. Each sample was segmented into one to six 1cm segments, depending on the length of the hair shaft. Pulverized hair was extracted and analyzed using a previously published ultra-high-performance liquid chromatography-tandem mass spectrometric method. The 10th-90th percentile of aripiprazole concentrations in all hair segments (n=78) from 17 individuals were 0.024ng/mg-11ng/mg with a median of 2.3ng/mg, and the 10th-90th percentile concentrations of dehydroaripiprazole were 0.020ng/mg-11ng/mg, with a median of 2.6ng/mg, in all hair segments (n=71). The metabolite-to-parent drug ratios ranged from 0.21 to 1.5, with a median of 0.72. The administered doses were calculated for each individual based on aripiprazole prescription data and pharmacy pickups, giving dose estimates of 1mg-32mg daily. A positive significant correlation was observed between concentrations in hair and blood, whereas no trends were observed between the concentrations in hair and the estimated doses. Besides aripiprazole, other antipsychotic drugs were found in several hair segments, indicating a high degree of polypharmacy among all subjects. The present study establishes concentrations of aripiprazole and dehydroaripiprazole in hair segments from 17 deceased individuals with long-term aripiprazole use. In addition, hair analysis demonstrates the possibility of evaluating polypharmacy.

Original languageEnglish
Article number110523
JournalForensic Science International
Volume317
Number of pages8
ISSN0379-0738
DOIs
Publication statusPublished - Dec 2020

ID: 249819222