Evidence map›Paper›PMID 41884287›Full record

ReviewAddictive behaviors reports2026

Distribution patterns of narcotic drugs, psychotropic substances, and new psychoactive substances among reported drug users in china (2014-2026): A systematic review and Meta-Analysis.

Qianning Wang, Zhen Qin, Lang Qin, Xing Xing, Zekun Wang, Haoliang Cui, Jianyi Zhang, Yiwen Xing, Jingyuan Chen, Mingchen Zhao and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Addictive behaviors reports, 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

13 authors.

Qianning WangDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Zhen QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Lang QinDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Xing XingChina Center for Health Development Studies, Peking University, Beijing 100191, China.
Zekun WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Haoliang CuiDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Jianyi ZhangDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Yiwen XingDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Jingyuan ChenDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Mingchen ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Wenkai LuoDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
He ZhuChina Center for Health Development Studies, Peking University, Beijing 100191, China.
Zhongwei JiaDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to examine the distribution of narcotic drugs, psychotropic substances, and new psychoactive substances (NPS) among reported drug users in China. Methods: This study searched peer-reviewed literature databases (i.e., CNKI and WANFANG for studies in Chinese, and Web of Science, PubMed, and PsycINFO for studies in English) for studies reporting drug use in China published between 2014 and 2026. Meta-regression was used to estimate pooled proportions of drug use, stratified by pandemic period, age group, and geographic region. Results: The pooled proportions of narcotic drugs and psychotropic substances among reported drug users were estimated to be 6.87% and 86.32%; 5.50% and 91.46% in 2014-2019, 7.96% and 71.62% in 2020-2026; 9.42% and 71.19% among adolescents, 6.50% and 83.81% among adults; 7.08% and 78.35% in eastern areas, 4.84% and 89.99% in central areas, 7.20% and 85.21% in western areas. NPS accounted for less than 0.001%, with similarly low proportions in all subgroups. Significant geographic differences were observed for all substance types ( Conclusion: Psychotropic substances accounted for the largest proportion, underscoring the need to prioritize their prevention and control. Geographic variations highlight the importance for region-specific strategies, targeting narcotic drugs in western areas, psychotropic substances and NPS in central areas. Population-specific interventions may also be warranted, particularly for adolescents, who exhibit higher proportions of NPS use.

Indexed as

ChinaNarcotic drugsNew psychoactive substancesPatternPsychotropic substances

Identifiers

PMID41884287
PMCPMC13010518

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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.