Evidence map›Paper›PMID 36339836›Full record

ArticleFrontiers in psychiatry2022

Preliminary efficacy of a digital therapeutics smartphone application for methamphetamine use disorder: An experimental study.

Liqun Zhang, Nan Li, Yuanhui Li, Tianjiao Zhang, Dai Li, Yanru Liu, Xiang Liu, Wei Hao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07319325 (Efficacy of an Adaptive, Gamified Digital Therapeutics Intervention for Individuals With Methamphetamine Use Disorder in Community Rehabilitation), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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.

NCT07319325 nacompletednot on this mapstarted 2025, after this paper: background citation

Efficacy of an Adaptive, Gamified Digital Therapeutics Intervention for Individuals With Methamphetamine Use Disorder in Community Rehabilitation: A Pragmatic Randomized Controlled Trial

TypeinterventionalSponsorAdai Technology (Beijing) Co., Ltd.Ran2025 to 2025Enrolled360ConditionsMethamphetamine AddictionArmsWonderLab Harbor+ (Adaptive DTx), Standard Community Counseling
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

8 authors at 2 institutions in 1 country.

Liqun ZhangAdai Technology (Beijing) Co., Ltd., Beijing, China.
Nan LiDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
Yuanhui LiAdai Technology (Beijing) Co., Ltd., Beijing, China.
Tianjiao ZhangAdai Technology (Beijing) Co., Ltd., Beijing, China.
Dai LiAdai Technology (Beijing) Co., Ltd., Beijing, China.
Yanru LiuAdai Technology (Beijing) Co., Ltd., Beijing, China.
Xiang LiuDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
Wei HaoNational Clinical Research Center on Mental Disorders, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.
Tsinghua University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methamphetamine is the most widely used illicit drug in China. Treating methamphetamine use disorder (MUD) is challenging due to the lack of effective pharmacotherapies. This study is an experimental study to investigate the efficacy of smartphone-based digital therapeutics in treating MUD at the community level. One hundred participants were recruited and randomized into a digital therapeutics (DTx) group (

Indexed as

approach bias modification trainingcognitive behavioral therapycognitive functionsdigital therapeuticsmethamphetamine

Identifiers

PMID36339836
PMCPMC9627209
OpenAlexW4306842593

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.