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Urine testing for antipsychotics: a pilot trial for a method to determine detection levels
Jennifer Miller1,2, Heidi Wehring3, Robert P McMahon3
1University of Maryland, School of Pharmacy, Baltimore, Maryland, USA.
Human Psychopharmacology
|May 27, 2015
Summary
This study confirms that an analytical assay can detect antipsychotics in urine. The assay is useful for monitoring patient adherence to prescribed antipsychotic medications.
Area of Science:
- Clinical Chemistry
- Pharmacology
- Analytical Chemistry
Background:
- Antipsychotic medications are crucial for managing various mental health conditions.
- Monitoring patient adherence to antipsychotic therapy is essential for treatment efficacy.
- Accurate and sensitive detection methods are needed to confirm medication intake.
Purpose of the Study:
- To validate an analytical assay for detecting antipsychotics in human urine.
- To assess the assay's capability in identifying specific antipsychotic drugs and their metabolites.
- To determine the clinical utility of the assay in monitoring antipsychotic adherence.
Main Methods:
- Recruitment of 40 inpatients undergoing treatment with haloperidol, quetiapine, risperidone, or olanzapine.
- Collection of urine samples and demographic/clinical data during a single study visit.
- Analysis of urine samples using Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS) for antipsychotic detection.
Main Results:
- All urine samples correctly identified the antipsychotics the participants were prescribed.
- Quantifiable detection ranges for parent drugs were established: haloperidol (<25-417 ng/mL), quetiapine (<25-4017 ng/mL), risperidone (0-997 ng/mL), and olanzapine (57-700 ng/mL).
- The UPLC-MS/MS method demonstrated sensitivity in detecting therapeutic levels of these antipsychotics.
Conclusions:
- The analytical assay developed by Ameritox, Ltd. effectively detects antipsychotics in human urine.
- The assay shows significant potential for monitoring patient adherence to antipsychotic medications.
- This detection method can aid clinicians in managing psychiatric treatment plans.
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