Evidence map›Paper›PMID 37219582›Full record

ArticleAnalytical and bioanalytical chemistry2023

Determination of synthetic hallucinogens in oral fluids by microextraction by packed sorbent and liquid chromatography-tandem mass spectrometry.

Evan Lesne, Miguel Muñoz-Bartual, Francesc A Esteve-Turrillas

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Evan LesneDepartment of Analytical Chemistry, University of Valencia, 50th Dr. Moliner St., 46100, Burjassot, Spain.
Miguel Muñoz-BartualDepartment of Analytical Chemistry, University of Valencia, 50th Dr. Moliner St., 46100, Burjassot, Spain.
Francesc A Esteve-TurrillasDepartment of Analytical Chemistry, University of Valencia, 50th Dr. Moliner St., 46100, Burjassot, Spain. francesc.a.esteve@uv.es.ORCID http://orcid.org/0000-0003-1543-1877
Universitat de València · ES

Funding

Ministerio de Ciencia e Innovación PID2019-110788GB-I00Ministerio de Sanidad, Consumo y Bienestar PND2022-I030
6 · The paper itself

Abstract

A fast and simple procedure based on microextraction by packed sorbent (MEPS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been developed for the simultaneous quantification of 28 synthetic hallucinogens in oral fluids, including lysergic acid diethylamide and substances from NBOMe, NBOH, NBF, 2C, and substituted amphetamine categories. Extraction conditions such as type of sorbent, sample pH, number of charge/discharge cycles, and elution volume were studied. Hallucinogenic compounds were extracted from oral fluid samples using C18 MEPS, loading with 100 μL sample (adjusted to pH 7) in 3 cycles, washing with 100 μL deionized water, and eluting with 50 μL methanol in 1 cycle, giving quantitative recoveries and no significant matrix effects. Limits of detection from 0.09 to 1.22 μg L

Indexed as

HallucinogensChromatography, High Pressure LiquidChromatography, LiquidLimit of DetectionSolid Phase MicroextractionTandem Mass SpectrometryHallucinogensLiquid chromatography–tandem mass spectrometryMicroextraction by packed sorbentNBOMesNew psychoactive substancesOral fluids

Identifiers

PMID37219582
PMCPMC10289917
OpenAlexW4377564899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.