Evidence map›Paper›PMID 41388978›Full record

ReviewChemical record (New York, N.Y.)2026

Illicit Drug-Derived Volatile Organic Compounds as Markers for Application in Noncontact Detection Technology.

Minwoo Kim, Solpa Lee, Anmo J Kim, Cong Wang, Yongwoo Jang

Abstract readReview
In one paragraph

Review in Chemical record (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Minwoo KimDepartment of Medical and Digital Engineering, College of Engineering, Hanyang University, Seoul, Republic of Korea.
Solpa LeeDepartment of Medical and Digital Engineering, College of Engineering, Hanyang University, Seoul, Republic of Korea.
Anmo J KimDepartment of Electronic Engineering, College of Engineering, Hanyang University, Seoul, Republic of Korea.
Cong WangSchool of Information and Communication, Harbin Institute of Technology, Harbin, P. R. China.ORCID 0000-0002-2863-0309
Yongwoo JangDepartment of Medical and Digital Engineering, College of Engineering, Hanyang University, Seoul, Republic of Korea.ORCID 0000-0003-1574-9009

Funding

Ministry of Science and ICT & Korean National Police Agency RS-2023-00243032National Research Foundation of Korea RS-2023-00302751
6 · The paper itself

Abstract

Illicit drug use remains a global concern, requiring effective detection methods to counter evolving concealment strategies. Natural drugs derived from plants typically retain distinct odorous volatile organic compounds (VOCs), while synthetic drugs emit noticeable scents due to additives or specific manufacturing processes. Indeed, trained sniffer dogs exhibit behavioral alerts, such as sitting near or scratching, when detecting substances such as marijuana, cocaine, heroin, and amphetamine. In this review, we focus on the intricate relationship between illicit drugs and their characteristic odors, highlighting VOC markers associated with both natural (cannabis and cocaine) and synthetic drugs (heroin, MDMA, fentanyl, and methamphetamine). Additionally, the detection of odors derived from illicit drugs is covered, from traditional methods involving sniffer dogs to emerging technologies such as electronic noses. Accordingly, this review offers insights into the odorous fingerprints of illicit drugs for continued research to refine innovative noncontact detection technologies for forensic and public health applications.

Indexed as

Illicit DrugsSubstance Abuse DetectionVolatile Organic CompoundsAnimalsElectronic NoseHumansOdorantsIllicit DrugsVolatile Organic Compoundsillicit drugnoncontact detectionolfactory receptorsniffer dogvolatile organic compounds

Identifiers

PMID41388978
PMCPMC12996762

What OpenQuestion holds

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LicenceCC BY-NC
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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.