Evidence map›Paper›PMID 40093576›Full record

ArticleMethodsX2025

Chemical components analysis of handmade alcoholic beverages with special focus on psychoactive drugs as adulterants.

Morvarid Sadat Miri, Dariush Badakhshan, Maryam Akhgari, Masoud Ghadipasha

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Morvarid Sadat MiriDepartment of Toxicology & Pharmacology, Faculty of Pharmacy, Pharmaceutical Sciences Branch, Islamic Azad University (IAUPS), Tehran Province, District 1, Yakhchal Street, Yasaman Alley, Tehran 19395/1495, Iran.
Dariush BadakhshanLegal Medicine Research Center, Legal Medicine Organization, Behesht Street, South Side of the City Park, Misagh Alley, Tehran 1114795113, Iran.
Maryam AkhgariLegal Medicine Research Center, Legal Medicine Organization, Behesht Street, South Side of the City Park, Misagh Alley, Tehran 1114795113, Iran.
Masoud GhadipashaLegal Medicine Research Center, Legal Medicine Organization, Behesht Street, South Side of the City Park, Misagh Alley, Tehran 1114795113, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Handmade alcoholic beverages are produced in clandestine laboratories. There are reports concerning the of counterfeit alcoholic beverages adulterated with psychoactive drugs. The purpose of this study should be to analyze volatile components and psychotropic substances in handmade alcoholic beverages. In this study, 616 samples were analyzed for the detection of ethanol, methanol, isopropanol, and acetone using gas chromatography. High-performance liquid chromatography was used for the analysis of benzodiazepines, nicotine, morphine, codeine, methadone, tramadol, and methamphetamine. Results were analyzed statistically by SPSS 25 and EXCEL 16 software. These beverages are sold in Iranian drug black market without regulatory and market oversight with increased risk of safety issues. In conclusion, it is important to know the drug profile in alcoholic beverages to investigate the cause and manner of poisoning with these kinds of fake beverages.•Ethanol was found in 86 % of the samples, while methanol, a toxic contaminant, was present in 8 %.•Several psychotropic substances, including methadone, tramadol, morphine, codeine, nicotine, benzodiazepines, and methamphetamine, were identified, showing intentional adulteration. The most common adulterants were methadone (24 %), diazepam (16.1 %), and tramadol (13.8 %).•Furthermore, 36.8 % of adulterated samples contained at least one benzodiazepine, reflecting widespread tampering in alcoholic beverages.

Indexed as

AdulterationForensic toxicologyGas chromatographyGas Chromatography and High Performance Liquid ChromatographyHandmade alcoholic beveragesPsychoactive drugs

Identifiers

PMID40093576
PMCPMC11910368

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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.