Evidence map›Paper›PMID 35445258›Full record

ArticleJournal of analytical toxicology2023

LC-MS-MS Determination of 88 Psychotropic Drugs in 1,865 Hair Samples from Addicts in Drug Abstinence.

Jiao-Jiao Ji, Duoqi Xu, Hui Yan, Ping Xiang, Min Shen

Open access · greenAbstract read
In one paragraph

Article in Journal of analytical toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Interpol review of forensic toxicology, 2023-2025.Forensic science international. Synergy · 2026
    Review
  3. 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

5 authors at 1 institution in 1 country.

Jiao-Jiao JiDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan university, 131 Dongan Road, Shanghai 200032, China.
Duoqi XuDepartment of Forensic Toxicology, Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science, 1347 West Guangfu Road, Shanghai 200063, China.ORCID 0000-0002-8924-0531
Hui YanDepartment of Forensic Toxicology, Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science, 1347 West Guangfu Road, Shanghai 200063, China.ORCID 0000-0002-3843-9145
Ping XiangDepartment of Forensic Toxicology, Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science, 1347 West Guangfu Road, Shanghai 200063, China.
Min ShenDepartment of Forensic Toxicology, Shanghai Key Laboratory of Forensic Medicine, Academy of Forensic Science, 1347 West Guangfu Road, Shanghai 200063, China.ORCID 0000-0001-8979-0122
Institute of Forensic Science · CN

Funding

National Natural Science Foundation of China 81772022
6 · The paper itself

Abstract

The emergence of novel drugs and the continuous expansion of the scope of the types of drugs under control have greatly increased requests for screening of a range of drugs in hair. Here, a multi-analyte method for the detection and quantification of 88 psychotropic drugs in the hair of addicts in drug abstinence was developed and fully validated using liquid chromatography-tandem mass spectrometry (LC-MS-MS). Hair samples (25 mg) were washed, cut into pieces, cryogenically ground and extracted in methanol. The extracted analytes were separated on an Allure PFP Propyl column (100 × 2.1 mm, 5 mm inside diameter, Restek, USA) and analyzed by LC-MS-MS in multiple reaction monitoring modes. The limits of detection and the limits of quantification ranged from 0.1 to 20 pg/mg and 0.2 to 50 pg/mg, respectively. The intra- and inter-assay precisions (relative standard deviation (RSD)) of all analyses ranged from 0.9% to 14.9% and 1.9% to 15.9%, respectively. Accuracy values were 100 ± 20%. The extraction recovery of quality control samples ranged from 50.9% to 99.6% for all analytes. The matrix effects for all analytes ranged from 46.8% to 99.7%. The method was successfully used to analyze 1,865 hair samples from addicts in drug rehabilitation at their own communities. Among the samples, 129 cases were positive; the majority of positive cases were from males (78.29%), 92.25% of whom were >35 years old. Traditional drugs, like methamphetamine and opioids, accounted for most positive cases, and 27 of the abstinence cases with a use history of methamphetamine were still positive. In addition to abused drugs, like methamphetamine, morphine and cocaine, the sedative-hypnotic and psychotherapeutic drugs, including clonazepam, alprazolam, estazolam, zolpidem and quetiapine, were detected in 26% of the hair samples, suggesting that these addicts may have insomnia and mental problems such as depression and psychosis, probably due to the long-term effects of drugs and withdrawal reactions. Three synthetic cannabinoids were also detected in four (2.7%) cases. A total of 37 cases were positive for methadone, tramadol and dextromethorphan, reflecting a new trend of alternative drug use when traditional drugs were not easy to obtain during the coronavirus disease 2019 outbreak.

Indexed as

COVID-19MethamphetamineAdultChromatography, LiquidHairHumansPsychotropic DrugsSubstance Abuse DetectionTandem Mass SpectrometryMethamphetaminePsychotropic Drugs

Identifiers

PMID35445258
PMCPMC9383785
OpenAlexW4224261030

What OpenQuestion holds

Textmetadata
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.