Evidence map›Paper›PMID 31499241›Full record

ArticleDrug and alcohol dependence2019

In vivo characterization of toxicity of norcocaethylene and norcocaine identified as the most toxic cocaine metabolites in male mice.

Xirong Zheng, Linyue Shang, Chang-Guo Zhan, Fang Zheng

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Xirong ZhengMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Linyue ShangMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
Chang-Guo ZhanMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA. Electronic address: zhan@uky.edu.
Fang ZhengMolecular Modeling and Biopharmaceutical Center, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA; Department of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA. Electronic address: fzhen2@uky.edu.
University of Kentucky · US

Funding

Development of Long-acting Cocaine Hydrolase as a Treatment for Cocaine AbuseUH3DA041115 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2017 to 2019
$3.8M
Long-lasting cocaine-metabolizing enzyme for cocaine addiction treatmentR01DA035552 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2013 to 2015
$3.4M
High-activity mutants of cocaine esterase for treatment of drug addictionR01DA025100 · NIDA · UNIVERSITY OF KENTUCKY · PI LANDRY, DONALD W, WOODS, JAMES H · 2008 to 2012
$2.5M
Redesign of Butyrylcholinesterase for Cocaine MetabolismR01DA013930 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2003 to 2010
$2.4M
Development of Long-acting Cocaine Hydrolase as a Treatment for Cocaine AbuseUH2DA041115 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2015 to 2016
$2.2M
Development of a Cocaine-Metabolizing Enzyme for Drug Overdose TreatmentR01DA032910 · NIDA · UNIVERSITY OF KENTUCKY · PI ZHAN, CHANG-GUO · 2012 to 2015
$1.8M
NIDA NIH HHS R01 DA013930NIDA NIH HHS R01 DA025100NIDA NIH HHS R01 DA032910NIDA NIH HHS R01 DA035552NIDA NIH HHS UH2 DA041115NIDA NIH HHS UH3 DA041115
6 · The paper itself

Abstract

backgroundMajority of cocaine users also consume alcohol, and concurrent use of cocaine and alcohol produces cocaethylene, norcocaine, norcocaethylene, and other non-toxic metabolites. It is essential to know their relative toxicity for development of a truly effective therapeutics for cocaine toxicity treatment.

methodsDrug (norcocaethylene or norcocaine)-induced acute toxicity was characterized by the occurrence (and the timing) of prostration, seizure, and death after intraperitoneal administration of the drug (n = 15) using the same strain (Swiss Webster) of male mice reported in previous study by Hearn et al. to determine LD

resultsAccording to the animal data, norcocaethylene (LD

conclusionsThe relative toxicity of these toxic drugs can be ranked in this order: norcocaethylene > norcocaine > cocaethylene > cocaine. The data suggest that norcocaethylene, norcocaine, and cocaethylene are all significant contributors to acute toxicity of cocaine in concurrent use of cocaine and alcohol. Hence, future therapeutic development for cocaine toxicity treatment must account for detoxification of these more toxic metabolites. In addition, the relative toxicity of different drugs correlates with the average time to the occurrence of death, seizure, or prostration after the drug administration with a same dose close to their LD

Indexed as

AnimalsCocaineDose-Response Relationship, DrugLethal Dose 50LocomotionMaleMiceCocainenorcocaethylenenorcocaineCocaine metaboliteCocaine toxicityConcurrent use of cocaine and alcoholDrug metabolismNorcocaethylene

Identifiers

PMID31499241
PMCPMC7737241
OpenAlexW2971102090

What OpenQuestion holds

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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.