loratadine has been researched along with labetalol in 6 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (16.67) | 18.2507 |
| 2000's | 2 (33.33) | 29.6817 |
| 2010's | 3 (50.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Carrupt, PA; Jolliet, P; Morin, C; Morin, D; Pagliara, A; Rihoux, JP; Testa, B; Tillement, JP; Urien, S | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Gunaydin, H; Sun, Y; Weiss, MM | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for loratadine and labetalol
| Article | Year |
|---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
5 other study(ies) available for loratadine and labetalol
| Article | Year |
|---|---|
Molecular properties and pharmacokinetic behavior of cetirizine, a zwitterionic H1-receptor antagonist.
Topics: Alkanes; Animals; Biological Transport; Blood Proteins; Brain; Cetirizine; Histamine H1 Antagonists; Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydroxyzine; Isomerism; Models, Molecular; Molecular Conformation; Octanols; Rats; Water | 1998 |
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration | 2004 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
De novo prediction of p-glycoprotein-mediated efflux liability for druglike compounds.
Topics: | 2013 |