[Measurement of benzodiazepine receptor agonists metabolites and their concentration in urine].

Author: AstashkinaO G, KalyokinR A, OrlovaA M, PavlovaA Z, VolkovaA A

Paper Details 
Original Abstract of the Article :
The study objective was to detect and measure the ratio of metabolites of benzodiazepine receptor agonists in urine during forensic chemical and chemical and toxicological studies, as well as to characterize the main metabolites to use them to confirm the oral intake of the test substances. Data on ...See full text at original site
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引用元:
https://doi.org/10.17116/sudmed20236601128

データ提供:米国国立医学図書館(NLM)

Identifying Benzodiazepine Receptor Agonist Metabolites in Urine

This research explores the complex world of [forensic toxicology], focusing on the identification and measurement of [benzodiazepine receptor agonist] metabolites in urine samples. The study aims to develop reliable methods for confirming the intake of specific benzodiazepine receptor agonists, such as zaleplon, zopiclone, clobazam, and phenazepam.

Benzodiazepine Metabolites: A Roadmap Through Toxicology

The study identified specific metabolites for each benzodiazepine receptor agonist, providing a valuable roadmap for forensic toxicology investigations. These findings have significant implications for law enforcement, forensic science, and clinical toxicology.

Understanding Drug Use Through Urine Analysis: A Window into the Body

Imagine urine analysis as a window into the human body, providing clues about drug use and exposure. This study highlights the importance of understanding drug metabolites and their presence in urine, providing valuable tools for forensic investigations and clinical diagnosis.

Dr.Camel's Conclusion

This research delves into the desert of forensic toxicology, unveiling a roadmap for identifying benzodiazepine receptor agonist metabolites in urine. These findings are critical for accurate drug identification, ensuring justice and protecting public health.

Date :
  1. Date Completed 2023-02-02
  2. Date Revised 2023-02-02
Further Info :

Pubmed ID

36719309

DOI: Digital Object Identifier

10.17116/sudmed20236601128

Related Literature

SNS
PICO Info
in preparation
Languages

Russian

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