Evidence map›Paper›PMID 42898482›Full record

ReviewAddiction & health2026

Psychoactive Substances: Analytical Strategies for the Identification of Designer Drugs in Forensic and Clinical Contexts.

Danta Sreesahithi, Nalanda Revu, Kushita Neduri

Abstract readReview
In one paragraph

Review in Addiction & health, 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

3 authors.

Danta SreesahithiDepartment of Pharmaceutical Analysis, School of Pharmacy, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.ORCID https://orcid.org/0009-0000-9717-2834
Nalanda RevuDepartment of Pharmaceutical Analysis, School of Pharmacy, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.ORCID https://orcid.org/0000-0002-9314-2459
Kushita NeduriDepartment of Pharmaceutical Analysis, School of Pharmacy, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India.ORCID https://orcid.org/0009-0003-9107-8400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Designer drugs, or novel psychoactive substances (NPS), are synthetic analogues of controlled drugs engineered to mimic their pharmacological effects while evading legal regulation. Their rapid emergence and global distribution pose major challenges to public health, law enforcement, and analytical laboratories due to their unpredictable effects and complex chemical variability. Methods: This review compiled and analyzed recent literature on the classification, pharmacology, abuse patterns, and analytical detection of designer drugs. Key instrumental techniques such as gas chromatography-mass spectrometry (GC-MS), liquid chromatography-tandem mass spectrometry (LC-MS/MS), and nuclear magnetic resonance (NMR) were evaluated alongside novel sensor-based technologies. Relevant case studies were examined to highlight clinical and forensic implications. Findings: The major classes of designer drugs include synthetic cathinones, cannabinoids, benzodiazepines, phenidate derivatives, and dissociatives. Traditional analytical methods provide high sensitivity and selectivity but face challenges like matrix effects, derivatization needs, and limited on-site applicability. Emerging sensor technologies, including molecularly imprinted polymers and aptamer-based biosensors, offer rapid and portable alternatives for field testing. GC-MS and LC-MS/MS remain the gold standards for confirmatory testing, while innovative nano-enabled sensors show promise for real-time detection and point-of-care diagnostics. Conclusion: Continuous evolution of designer drugs necessitates adaptable analytical strategies. Integration of advanced sensor platforms with established chromatographic methods and strengthened inter-laboratory validation can enhance global surveillance and improve public health responses to NPS abuse.

Indexed as

Analytical detectionDesigner drugsForensic toxicologyNovel psychoactive substancesSensor technology

Identifiers

PMID42898482
PMCPMC13678060

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.