Evidence map›Paper›PMID 31533834›Full record

ArticleSubstance abuse treatment, prevention, and policy2019

Seizures of illicit substances for personal use in two Italian provinces: analysis of trends by type and purity from 2008 to 2017.

Patrizia Verri, Cecilia Rustichelli, Anna Ferrari, Filippo Marchesi, Carlo Baraldi, Manuela Licata, Daniele Vandelli, Federica Palazzoli, Francesco Potì, Enrico Silingardi

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  3. Article
  4. 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

10 authors at 2 institutions in 2 countries.

Patrizia VerriForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Cecilia RustichelliDepartment of Life Sciences, University of Modena and Reggio Emilia, via G. Campi, 103, 41125, Modena, Italy. cecilia.rustichelli@unimore.it.ORCID 0000-0001-8917-9980
Anna FerrariUnit of Medical Toxicology, Headache Centre and Drug Abuse; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Filippo MarchesiForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Carlo BaraldiSchool of Medical Toxicology, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Manuela LicataForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Daniele VandelliForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Federica PalazzoliForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
Francesco PotìUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, Via Volturno, 39F, 43125, Parma, Italy.
Enrico SilingardiForensic Toxicology Laboratory; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via del Pozzo, 71, 41124, Modena, Italy.
University of Modena and Reggio Emilia · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of illicit substances represents one of the most difficult problems to confront in the health system. Drug use is a global problem but is not uniform throughout the world, within the same country and changes over time. Therefore, knowing the illicit substances that are used in a territory is essential to better organize health services in that specific geographical area. To this aim, we analysed 4200 samples confiscated from individuals who held them for personal use by police forces in the Italian provinces of Modena and Reggio Emilia from 2008 to 2017.

methodsThe suspected samples were screened by gas-chromatography-mass spectrometry (GC-MS) and by liquid chromatography-tandem mass spectrometry (LC-MS/MS); all samples were subsequently analysed by gas chromatography-flame ionization detector (GC-FID) for quantitative analyses.

resultsCannabis was the most seized illicit substance (70.7%). Over the study period, the number of seizures of herb with a high content of Δ

conclusionsThe persistence of old illicit drugs and the rapid emergence of new psychoactive substances represented a serious challenge for public health in the studied Italian area. Some useful interventions might be: informing mainly young people about the possible complications of cannabis use; implementing standardized procedures to diagnose and treat cocaine-related emergencies in hospitals; increasing the distribution of naloxone to antagonize possible heroin overdoses; equipping laboratories to be able to identify the new psychoactive substances.

Indexed as

AdultFemaleHumansIllicit DrugsItalyMaleSubstance Abuse DetectionYoung AdultIllicit DrugsCannabisCocaineDrug seizureHeroinIllicit substanceNew psychoactive substancePhenylethylamineSynthetic cathinone

Identifiers

PMID31533834
PMCPMC6751801
OpenAlexW2974289282

What OpenQuestion holds

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LicenceCC BY
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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.