Evidence map›Paper›PMID 36454490›Full record

ArticleForensic toxicology2022

Identification and structural characterization of three psychoactive substances, phenylpiperazines (pBPP and 3,4-CFPP) and a cocaine analogue (troparil), in collected samples.

Magdalena Popławska, Elżbieta Bednarek, Beata Naumczuk, Agata Błażewicz

Abstract read
In one paragraph

Article in Forensic toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
  3. 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

4 authors.

Magdalena PopławskaNational Medicines Institute, 30/34 Chełmska Street, 00-725, Warsaw, Poland. m.poplawska@nil.gov.pl.ORCID 0000-0003-0042-9088
Elżbieta BednarekNational Medicines Institute, 30/34 Chełmska Street, 00-725, Warsaw, Poland. e.bednarek@nil.gov.pl.
Beata NaumczukNational Medicines Institute, 30/34 Chełmska Street, 00-725, Warsaw, Poland.
Agata BłażewiczNational Medicines Institute, 30/34 Chełmska Street, 00-725, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNew psychoactive substances (NPSs) still appear on the market, mainly due to their legal status. This situation indicates and alarms that permanent recognition of the designer drug scene should be conducted. In this paper, we describe the detection of three psychoactive substances in samples collected from drug users.

methodsQualitative characterization was performed using liquid chromatography-high-resolution tandem mass spectrometry with a quadrupole time-of-flight analyzer, gas chromatography with mass spectrometry and nuclear magnetic resonance spectroscopy.

resultsIn this study, we reported the detection and structural elucidation of three psychoactive substances: 1-(4-bromophenyl)piperazine (pBPP), 1-(3-chloro-4-fluorophenyl)piperazine (3,4-CFPP) and methyl 8-methyl-3-phenyl-8-azabicyclo[3.2.1]octane-4-carboxylate (troparil).

conclusionsTo the best of our knowledge, this is the first report that presents an identification methodology for these substances found in illegal products. Comprehensive characterization of the NPSs presented in this paper facilitates their detection and identification by forensic and clinical laboratories.

Indexed as

Central Nervous System AgentsCocaineGas Chromatography-Mass SpectrometryPiperazinesCentral Nervous System AgentsCocainephenylpiperazinePiperazinestroparilBromophenylpiperazineChlorofluorophenylpiperazineCocaine analogueNew psychoactive substancePhenylpiperazinesTroparil

Identifiers

PMID36454490
PMCPMC9715470

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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.