Page last updated: 2024-08-16

tripelennamine and acetaminophen

tripelennamine has been researched along with acetaminophen in 4 studies

Research

Studies (4)

TimeframeStudies, this research(%)All Research%
pre-19901 (25.00)18.7374
1990's0 (0.00)18.2507
2000's2 (50.00)29.6817
2010's1 (25.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Strassburg, CP; Tukey, RH1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1
Bruno, VF; De Ritis, G; De Rossi, P; De Tommaso, G; Granato, C; Lotti, A; Morabito, F; Nola, P; Pozzessere, C; Roscioni, C1

Reviews

1 review(s) available for tripelennamine and acetaminophen

ArticleYear
Human UDP-glucuronosyltransferases: metabolism, expression, and disease.
    Annual review of pharmacology and toxicology, 2000, Volume: 40

    Topics: Autoimmunity; Chromosome Mapping; Glucuronides; Glucuronosyltransferase; Humans; Hyperbilirubinemia; Neoplasms; Steroids; Terminology as Topic

2000

Trials

1 trial(s) available for tripelennamine and acetaminophen

ArticleYear
[Analgesic, antipyretic and anti-rheumatic activity of 2 preparations evaluated in a multicenter clinical trial].
    La Clinica terapeutica, 1982, Dec-15, Volume: 103, Issue:5

    Topics: Acetaminophen; Adolescent; Adult; Aged; Aspirin; Caffeine; Child; Child, Preschool; Clinical Trials as Topic; Drug Combinations; Female; Fever; Humans; Infant; Joint Diseases; Male; Middle Aged; Pain; Rheumatic Diseases; Sulfadimethoxine; Tripelennamine

1982

Other Studies

2 other study(ies) available for tripelennamine and acetaminophen

ArticleYear
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
    Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3

    Topics:

2008
Predicting phospholipidosis using machine learning.
    Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

    Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010