Targeted Comprehensive Screening of Neuropsychiatric Drugs in Serum by LC-MS/MS: Method Development and Three-Year Clinical Utility

Background: The increasing prevalence of neuropsychiatric medication misuse highlights the critical need for efficient drug screening in clinical laboratories. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) application for broad serum drug screening remains limited in many clinical settings. Serum analysis is particularly valuable for identifying current drug exposure, confirming the cause of intoxication, and monitoring patient medication adherence. Purpose: This study aimed to develop and validate an LC-MS/MS method using multiple reaction monitoring followed by information-dependent acquisition-triggered enhanced product ion scans for the simultaneous qualitative identification of 77 neuropsychiatric drugs, and to present its large-scale clinical application over three years. Methods: Validation included precision, accuracy, recovery, matrix effects, selectivity, and interference. A minimal serum volume (20 μL) underwent simple protein precipitation, with preparation time under 15 minutes per batch. This method was applied to 1,021 clinical serum specimens. Results: Chromatographic separation was completed in 15 minutes. The precisions (CV) for calculated concentrations and retention times were < 30% and < 1.5%, respectively. Accuracy was assessed for 60 of the 77 analytes (100% agreement). Mean recovery and matrix effects were 93.1% and 99.9%, respectively. Most test orders originated from psychiatry and neurology outpatients. Although fewer orders came from the Department of Emergency Medicine (EM), the EM patients exhibited a higher positivity rate. The most frequently detected drug classes were benzodiazepines (37.9%), antidepressants (30.7%), and antipsychotics (19.7%). Common specific analytes included clonazepam/7-aminoclonazepam (10.2%) and lorazepam (10.0%). Conclusion: We developed and validated a LC-MS/MS method for the simultaneous detection of a wide range of neuropsychiatric drugs. The method proved essential for verifying medication history, identifying non-adherence, and diagnosing acute intoxication. Our findings highlight the critical role of broad-spectrum serum screening in managing medication-related emergencies and optimizing long-term therapeutic care.

Authors

Institutions

Publication Details

Journal
Drug Design Development and Therapy
Published
2026-04-01
DOI
https://doi.org/10.2147/dddt.s585730
Primary Topic
Forensic Toxicology and Drug Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeted Comprehensive Screening of Neuropsychiatric Drugs in Serum by LC-MS/MS: Method Development and Three-Year Clinical Utility

Hong Jin Jeon, Eunbin Chong, Soo‐Youn Lee, Se-eun Koo et al.
Drug Design Development and Therapy
Forensic Toxicology and Drug Analysis
article

Targeted Comprehensive Screening of Neuropsychiatric Drugs in Serum by LC-MS/MS: Method Development and Three-Year Clinical Utility

Hong Jin Jeon, Eunbin Chong, Soo‐Youn Lee, Se-eun Koo, Sang-Mi Kim, Eun Yeon Joo, Miryung Chun
article en

Abstract

Background: The increasing prevalence of neuropsychiatric medication misuse highlights the critical need for efficient drug screening in clinical laboratories. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) application for broad serum drug screening remains limited in many clinical settings. Serum analysis is particularly valuable for identifying current drug exposure, confirming the cause of intoxication, and monitoring patient medication adherence. Purpose: This study aimed to develop and validate an LC-MS/MS method using multiple reaction monitoring followed by information-dependent acquisition-triggered enhanced product ion scans for the simultaneous qualitative identification of 77 neuropsychiatric drugs, and to present its large-scale clinical application over three years. Methods: Validation included precision, accuracy, recovery, matrix effects, selectivity, and interference. A minimal serum volume (20 μL) underwent simple protein precipitation, with preparation time under 15 minutes per batch. This method was applied to 1,021 clinical serum specimens. Results: Chromatographic separation was completed in 15 minutes. The precisions (CV) for calculated concentrations and retention times were < 30% and < 1.5%, respectively. Accuracy was assessed for 60 of the 77 analytes (100% agreement). Mean recovery and matrix effects were 93.1% and 99.9%, respectively. Most test orders originated from psychiatry and neurology outpatients. Although fewer orders came from the Department of Emergency Medicine (EM), the EM patients exhibited a higher positivity rate. The most frequently detected drug classes were benzodiazepines (37.9%), antidepressants (30.7%), and antipsychotics (19.7%). Common specific analytes included clonazepam/7-aminoclonazepam (10.2%) and lorazepam (10.0%). Conclusion: We developed and validated a LC-MS/MS method for the simultaneous detection of a wide range of neuropsychiatric drugs. The method proved essential for verifying medication history, identifying non-adherence, and diagnosing acute intoxication. Our findings highlight the critical role of broad-spectrum serum screening in managing medication-related emergencies and optimizing long-term therapeutic care.

Drug Design Development and TherapyVol. Volume 20
National Research Foundation of Korea (KR), Samsung Medical Center (KR), Chosun University Hospital (KR), Sungkyunkwan University (KR)
Korea Health Industry Development Institute
Good health and well-being
Openalex Percentile: Top 19%
Forensic Toxicology and Drug Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.