homochlorocyclizine and promethazine

homochlorocyclizine has been researched along with promethazine in 3 studies

Research

Studies (3)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	2 (66.67)	29.6817
2010's	1 (33.33)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Glen, RC; Lowe, R; Mitchell, JB	1
Furukori, H; Inoue, Y; Kaneko, S; Kondo, T; Mihara, K; Otani, K; Suzuki, A; Yasui-Furukori, N	1

Trials

1 trial(s) available for homochlorocyclizine and promethazine

Article	Year
Histamine H1-receptor antagonists, promethazine and homochlorcyclizine, increase the steady-state plasma concentrations of haloperidol and reduced haloperidol. Therapeutic drug monitoring, 2003, Volume: 25, Issue:2 Topics: Adult; Aged; Antipsychotic Agents; Cyclizine; Dose-Response Relationship, Drug; Drug Interactions; Drug Therapy, Combination; Female; Haloperidol; Histamine H1 Antagonists; Humans; Male; Middle Aged; Promethazine; Schizophrenia	2003

Article

Year

Histamine H1-receptor antagonists, promethazine and homochlorcyclizine, increase the steady-state plasma concentrations of haloperidol and reduced haloperidol.

Therapeutic drug monitoring, 2003, Volume: 25, Issue:2

Topics: Adult; Aged; Antipsychotic Agents; Cyclizine; Dose-Response Relationship, Drug; Drug Interactions; Drug Therapy, Combination; Female; Haloperidol; Histamine H1 Antagonists; Humans; Male; Middle Aged; Promethazine; Schizophrenia

2003

Other Studies

2 other study(ies) available for homochlorocyclizine and promethazine

Article	Year
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