ArticleJournal of food and drug analysis2025
In vitro metabolic profiling of methylenedioxy-substituted synthetic cathinones for enhanced detection in urine sample analysis.
Article in Journal of food and drug analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Characterisation of the designer cathinone N-isopropylbutylone by a multi-technique approach and its metabolic profiling and stability assessment using dried matrix spots.Analytical and bioanalytical chemistry · 2026Article
- Comprehensive metabolic profiling of the new designer stimulant MDPiHP-in vitro and in vivo identification of potential biomarkers for detection in human samples.Analytical and bioanalytical chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic cathinones are a widely abused class of new psychoactive substances that pose significant challenges in forensic toxicology owing to their complex metabolic pathways and lack of verified reference standards. This study investigated the in vitro metabolism of nine methylenedioxy-substituted synthetic cathinones, including methylone and eight structural isomers, which were categorized into three groups: Group 1 (dimethylone, ethylone, and butylone), Group 2 (dibutylone, pentylone, and eutylone), and Group 3 (N-ethylpentylone and dipentylone). Pooled human liver microsomes, cytosol, and uridine diphosphate glucuronic acid were used to identify phase I and II metabolites by liquid chromatography-quadrupole time-of-flight mass spectrometry. Key pathways included N-dealkylation, β-ketone reduction, aliphatic hydroxylation, demethylenation, and glucuronide conjugation, with the analytes containing N, N-dimethylamino moieties showing higher N-dealkylation and β-ketone reduction ratios. Metabolic differences were semiquantitatively assessed using peak area ratios, which revealed relative trends among the analytes. Differences in the retention times and mass spectral fragmentation patterns enabled effective isomer differentiation, which was validated using a metabolite database. Analysis of 29 urine samples confirmed that the metabolites generated from β-ketone reduction (M2) and demethylenation followed by O-methylation (M3-5) were reliable detection targets. For instance, even when the parent drug concentrations were as low as 11 ng/mL (semiquantitative peak area ratio ~70.0%) for methylone (M-6) and 23 ng/mL (semiquantitative peak area ratio ~2.9%) for dibutylone (DB-8), multiple metabolites were detected. These metabolites extended the detection window beyond Taiwan's legal threshold of 50 ng/mL. Overall, this study provides a unified comparison of the products of synthetic cathinone metabolism, and highlights the importance of metabolites as key markers for enhanced identification accuracy in forensic toxicology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.