Evidence map›Paper›PMID 35141767›Full record

ReviewArchives of toxicology2022

Developments in high-resolution mass spectrometric analyses of new psychoactive substances.

Joshua Klingberg, Bethany Keen, Adam Cawley, Daniel Pasin, Shanlin Fu

Open access · hybridAbstract readReview
In one paragraph

Review in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Fentanyl Analog Screening using LC-TIMS-TOF MS/MS.Journal of visualized experiments : JoVE · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
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 3 institutions in 2 countries.

Joshua KlingbergAustralian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, 2000, Australia. joshua.c.klingberg@gmail.com.ORCID 0000-0003-4310-4777
Bethany KeenCentre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia.
Adam CawleyAustralian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, 2000, Australia.
Daniel PasinSection of Forensic Chemistry, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark.
Shanlin FuCentre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia.
Racing Victoria · AUUniversity of Technology Sydney · AUUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proliferation of new psychoactive substances (NPS) has necessitated the development and improvement of current practices for the detection and identification of known NPS and newly emerging derivatives. High-resolution mass spectrometry (HRMS) is quickly becoming the industry standard for these analyses due to its ability to be operated in data-independent acquisition (DIA) modes, allowing for the collection of large amounts of data and enabling retrospective data interrogation as new information becomes available. The increasing popularity of HRMS has also prompted the exploration of new ways to screen for NPS, including broad-spectrum wastewater analysis to identify usage trends in the community and metabolomic-based approaches to examine the effects of drugs of abuse on endogenous compounds. In this paper, the novel applications of HRMS techniques to the analysis of NPS is reviewed. In particular, the development of innovative data analysis and interpretation approaches is discussed, including the application of machine learning and molecular networking to toxicological analyses.

Indexed as

Psychotropic DrugsWastewaterMass SpectrometryRetrospective StudiesSubstance Abuse DetectionPsychotropic DrugsWastewaterHRMSIllicit drugsMachine learningMetabolomicsMolecular networkingNew psychoactive substances

Identifiers

PMID35141767
PMCPMC8921034
OpenAlexW4210837018

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.