The DOI matches its Crossref record.
World Drug Report 2025
Abstract
A global reference on drug markets, trends and policy developments, the World Drug Report offers a wealth of data and analysis and in 2025 comprises several elements tailored to different audiences. Key findings provide an overview of selected findings from the analysis presented in Drug market patterns and trends and the thematic chapters of Contemporary issues on drugs, while Special points of interest offer a framework for the main takeaways and policy implications that can be drawn from those findings. The World Drug Report 2025 is aimed not only at fostering greater international cooperation to counter the impact of the world drug problem on health, governance and security, but also at assisting Member States in anticipating and addressing threats posed by drug markets and mitigating their consequences.
Overview
Integrity signals
Registry
Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In contrast, our study broadened the scope to include opioids, stimulants, synthetic cannabinoids, and other substances, reflecting the country’s shifting poly-substance use trends [1,4,5].”
In the citing paper
“The global unregulated drug supply faces a critical challenge with the emergence of nitazenes, a class of novel synthetic opioids (NSOs) structurally distinct from fentanyl and associated with extreme potency and high risk of fatal overdose.”
From Nitazenes: The Emergence of a Potent Synthetic Opioid Threat (2025) · cites this paper as [1]
In the citing paper
“while such measures may reduce the number of nitazenes in circulation”
From Nitazenes: The Emergence of a Potent Synthetic Opioid Threat (2025) · cites this paper as [1]
In the citing paper
“Notwithstanding, it is important to note that while such measures may reduce the number of nitazenes in circulation, new families of psychoactive substances are likely to emerge rapidly to circumvent these regulations [1,2].”
From Nitazenes: The Emergence of a Potent Synthetic Opioid Threat (2025) · cites this paper as [1]
Citations
Cites
Still being checked.
Cited by
Nitazenes: The Emergence of a Potent Synthetic Opioid Threat
Pereira, J. R. P., Quintas, A., & Neng, N. R. (2025) · Molecules · doi:10.3390/molecules30193890 · Cited by 21
Anaba, H., Thrul, J., Oborevwori, E., Oluwayomi, O., & Alexander, G. C. (2025) · PLOS Global Public Health · doi:10.1371/journal.pgph.0005597
Metadata
- Authors
- United Nations Office on Drugs and Crime
- Corresponding author
- United Nations Office on Drugs and Crime
- Venue
- World Drug Report
- Publisher
- United Nations
- Published
- 2025-06-26
- ISSN
- 2411-832X (ISSN-L)
- 2411-8338
- OpenAlex
- W4411920887
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 41 · 2025: 8
- FWCI
- 92.21
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- World drug report (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Youth, Drugs, and Violence
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- drug market, drug policy, drug offenses, drug trafficking, drug-related violence, international drug control, drug market trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
