Results 21 to 30 of about 11,447,845 (407)

Clinical Pharmacokinetic Assessment of Kratom (Mitragyna speciosa), a Botanical Product with Opioid-like Effects, in Healthy Adult Participants

Pharmaceutics, 2022
Increasing use of the botanical kratom to self-manage opioid withdrawal and pain has led to increased kratom-linked overdose deaths. Despite these serious safety concerns, rigorous fundamental pharmacokinetic knowledge of kratom in humans remains lacking.
Rakshit S. Tanna, James T. Nguyen, Deena L. Hadi, Preston K. Manwill, Laura Flores-Bocanegra, Matthew E. Layton, John R. White, Nadja B. Cech, Nicholas H. Oberlies, Allan E. Rettie, Kenneth E. Thummel, Mary F. Paine   +11 more
doaj   +1 more source

Current Concepts on Drug Abuse and Dependence [PDF]

, 2015
Drug addiction is a complex disease characterized by compulsive and uncontrollable desire to seek and consume the drug. In time, drug-related terminology has undergone many changes, arising from the deepening of the mechanisms of action, but also about ...
Baconi, Daniela Luiza, Bălălău, Cristian, Ciobanu, Anne-Marie, Cobani, Oana Denisa, Negrei, Carolina, Vlăsceanu, Ana Maria   +5 more
core   +3 more sources

A network inference method for large-scale unsupervised identification of novel drug-drug interactions [PDF]

, 2013
Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others.
Guimera, Roger, Sales-Pardo, Marta
core   +4 more sources

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction

International Joint Conference on Artificial Intelligence, 2020
Drug-drug interaction (DDI) prediction is a challenging problem in pharmacology and clinical application, and effectively identifying potential DDIs during clinical trials is critical for patients and society.
Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng   +4 more
semanticscholar   +1 more source

Inhibitory Effect of Coumarins and Isocoumarins Isolated from the Stems and Branches of Acer mono Maxim. against Escherichia coli β-Glucuronidase

Applied Sciences, 2022
We isolated eight known secondary metabolites, including two isocoumarins and six coumarins, from the stems and branches of Acer mono Maxim. Their structures were confirmed using nuclear magnetic resonance spectroscopy and by comparing the data to ...
Nguyen Viet Phong, Byung Sun Min, Seo Young Yang, Jeong Ah Kim   +3 more
doaj   +1 more source

Identification of Potential Drug Interaction with Complementary and Alternative Medicines Among Chronic Disease Outpatients [PDF]

, 2018
Chronic diseases such as congestive heart failure (CHF) and chronic kidney disease (CKD) are related with multiple drug prescription which can lead to drug interaction.
Fajria, A. K. (Arsitania), Maziyyah, N. (Nurul), Nurdianto, A. (Apri)   +2 more
core   +2 more sources

Concomitant Administration of Red Ginseng Extract with Lactic Acid Bacteria Increases the Plasma Concentration of Deglycosylated Ginsenosides in Healthy Human Subjects

Biomolecules, 2022
With the increased frequency of red ginseng extract (RGE) and lactic acid bacteria (LAB) co-administration, we aimed to investigate the interactions between RGE and LAB with regard to in vitro and in vivo deglycosylation metabolism and the ...
Ji-Hyeon Jeon, Jin-Hyang Park, So Yeon Jeon, Minyeong Pang, Min-Koo Choi, Im-Sook Song   +5 more
doaj   +1 more source

Synergistic drug combinations from electronic health records and gene expression. [PDF]

, 2016
ObjectiveUsing electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs provide real-world treatment and outcome patterns, while complementary biomolecular data, including ...
Chen, William, Daugherty, Aaron C, Desai, Manisha, Farrington, Carl, Gomez, Scarlett L, Hastie, Trevor, Kenkare, Pragati, Kurian, Allison W, Lim, Michael, Low, Yen S, Mathur, Maya, Radin, Andrew A, Schroeder, Elizabeth A, Seto, Tina, Shah, Nigam H, Sirota, Marina, Sledge, George W, Thompson, Caroline A, Weber, Susan, Yu, Peter P   +19 more
core   +2 more sources

Efficient prediction of drug-drug interaction using deep learning models.

IET Systems Biology, 2020
A drug-drug interaction or drug synergy is extensively utilised for cancer treatment. However, prediction of drug-drug interaction is defined as an ill-posed problem, because manual testing is only implementable on small group of drugs.
Prashant Kumar Shukla, Piyush Kumar Shukla, Poonam Sharma, P. Rawat, Jashwant Samar, Rahul Moriwal, M. Kaur   +6 more
semanticscholar   +1 more source

Insights into the inhibitory activities of neolignans and diarylnonanoid derivatives from nutmeg (Myristica fragrans Houtt.) seeds on soluble epoxide hydrolase using in vitro and in silico approaches

Journal of Enzyme Inhibition and Medicinal Chemistry, 2023
Two new neolignans, myrifralignans F–G (14 and 18), four new diarylnonanoid derivatives, myrifragranones A–D (21–24), and 18 known compounds were isolated and structurally elucidated from nutmeg (Myristica fragrans Houtt.) seeds.
Vu Thi Oanh, Nguyen Viet Phong, Byung Sun Min, Seo Young Yang, Jeong Ah Kim   +4 more
doaj   +1 more source