Evidence map›Paper›PMID 42609521›Full record

ReviewFrontiers in chemistry2026

Detection of drugs of abuse: evolving analytical strategies and emerging challenges.

Nagwa Eliw, Manal A Alhefeiti, Ahmed A Shamroukh, Iltaf Shah

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Nagwa EliwDepartment of Chemistry, College of Science, UAE University, Al Ain, United Arab Emirates.
Manal A AlhefeitiForensic Science Laboratory, Ministry of Justice, Al Ain, United Arab Emirates.
Ahmed A ShamroukhDepartment of Chemistry, Faculty of Science, Qena University, Qena, Egypt.
Iltaf ShahDepartment of Chemistry, College of Science, UAE University, Al Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of drugs of abuse in biological and non-biological matrices remains a cornerstone of forensic, clinical, and public health investigations. Traditional matrices such as urine and blood provide short-term evidence of drug intake, while alternative specimens such as hair offer extended detection windows, and oral fluid provides a reliable indicator of recent drug intake comparable to blood. This review summarizes current knowledge on specimen selection, factors influencing drug absorption, distribution, and elimination, and highlights analytical strategies ranging from chromatographic and mass spectrometric methods to emerging electrochemical, optical, and biosensor platforms. Special emphasis is placed on the challenges posed by new psychoactive substances (NPS) such as synthetic cannabinoids (SCs), cathinones, hallucinogens, and amphetamine type stimulants, which continuously evolve to evade regulation and complicate detection. Advances in sample preparation, miniaturization, and portable analytical devices are critically evaluated in terms of sensitivity, specificity, and applicability to forensic and clinical settings. A central theme of this review is the two-tiered analytical framework that integrates rapid field screening technologies with highly selective chromatographic-mass spectrometric confirmation, providing a practical and scalable approach for addressing both conventional drugs of abuse and emerging NPS challenges.

Indexed as

analytical techniquesdrugs of abuseforensic toxicologymass spectrometrynew psychoactive substances (NPS)portable sensors

Identifiers

PMID42609521
PMCPMC13478270

What OpenQuestion holds

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Registered trials

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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.