ArticleDrug testing and analysis2026
Micro-QuEChERS Extraction for Broad-Spectrum LC-QQQ-MS Quantification of Nitazene Analogs in Plasma: A Validated Method With Casework Application.
Article in Drug testing and analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Nitazenes are highly potent synthetic opioids of increasing concern in clinical and forensic toxicology, thus underscoring the need for sensitive and selective analytical methods for biological specimens. This study describes the development and validation of an LC-MS/MS method for the quantification of nitazene analogs and related metabolites in plasma using micro-QuEChERS sample preparation. The validated concentration range was 0.05-20 ng/mL, with coefficients of determination R
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.