Evidence map›Paper›PMID 38449641›Full record

ArticleHeliyon2024

Analysis and study of the mechanism of narcotic addiction and withdrawal.

Yan Wang, Jiawei Ke, Shanshan Li, Qingling Kong, Mingyue Zhang, Mingming Li, Jing Gu, Meng Chi

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. 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
0.2field-weighted citation impact, top 62% 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.

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, 1 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Yan WangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Jiawei KeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Shanshan LiFirst Affiliated Hospital, Heilongjiang University of Chinese Medical, Harbin, 150040, China.
Qingling KongDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Mingyue ZhangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Mingming LiDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Jing GuDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Meng ChiDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Harbin Medical University · CNFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Narcotic drugs refer to drugs that have anesthetic effects on the central nervous system, and they easily produce physical dependence and mental dependence and can be addictive due to continuous use, abuse or unreasonable use. In this paper, bioinformatics and data analysis and mining techniques were used to analyze the methylation differences in transcriptional and clinical data of narcotic addiction in public databases, to explore the mechanism of narcotic addiction, and to mine some norepinephrine drugs. This study confirmed the possibility of using norepinephrine as an auxiliary drug for drug addiction rehabilitation. In addition, we also conducted a similar analysis on the addiction of three drugs. The results showed that the differences in the body caused by the ingestion of opiates and cocaine were significantly greater than those caused by the ingestion of methamphetamine.

Indexed as

Differentially methylated expression analysesDrug addictionNorepinephrineWithdrawal reaction

Identifiers

PMID38449641
PMCPMC10915384
OpenAlexW4392203884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.