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Journal articles on the topic 'Drug'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Khanapure, Amol, Pem Chuki, and Avinash De Sousa. "Drug Repositioning : Old Drugs For New Indications." Indian Journal of Applied Research 4, no. 8 (2011): 462–66. http://dx.doi.org/10.15373/2249555x/august2014/119.

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2

Bocharova, Inna Anatolevna, Vadim Agadzhanov, and Vadim Sagalaev. "Drug addiction. Drugs and their effects on man." Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Serija 11. Estestvennye nauki, no. 2 (December 1, 2013): 22–27. http://dx.doi.org/10.15688/jvolsu11.2013.2.3.

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3

Staltari, Orietta, Christian Leporini, Benedetto Caroleo, et al. "Drug-Drug Interactions: Antiretroviral Drugs and Recreational Drugs." Recent Patents on CNS Drug Discovery 9, no. 3 (2015): 153–63. http://dx.doi.org/10.2174/1574889809666141127101623.

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4

S, Swathi V., and Joshna Rani S. "DRUG - DRUG INTERACTION: AN IMPORTANT DRUG RELATED PROBLEM." Indian Research Journal of Pharmacy and Science 6, no. 3 (2019): 2008–12. http://dx.doi.org/10.21276/irjps.2019.6.3.11.

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5

NIWA, Toshiro, Toshifumi SHIRAGA, and Akira TAKAGI. "Drug-Drug Interaction of Antifungal Drugs." YAKUGAKU ZASSHI 125, no. 10 (2005): 795–805. http://dx.doi.org/10.1248/yakushi.125.795.

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6

Isnenia, Isnenia. "Penggunaan Non-Steroid Antiinflamatory Drug dan Potensi Interaksi Obatnya Pada Pasien Muskuloskeletal." Pharmaceutical Journal of Indonesia 6, no. 1 (2020): 47–55. http://dx.doi.org/10.21776/ub.pji.2020.006.01.8.

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The main therapy on musculoskeletal patients is the use of non-steroidal anti-inflammatory drugs (NSAIDs) either as monotherapy or in combination with drugs of the same class or pain relievers from other groups. The use of more than one drugs have potentially caused drug-drug interactions that can affect to patient. This study was aimed to describe the patient's sociodemographic (sex, ages) and clinical (numbers of drugs, type of drugs and diagnose) characteristics, as well as to find the correlation between potential drug interactions with these variables. This research was a quantitative stu

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7

Sriwijitalai, Won, and Viroj Wiwanitkit. "Drug–drug interaction analysis: Antituberculosis drugs versus antiretroviral drugs." Biomedical and Biotechnology Research Journal (BBRJ) 3, no. 2 (2019): 101. http://dx.doi.org/10.4103/bbrj.bbrj_52_19.

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8

Yalkızımı, Selcan, and Ümit Şentürk. "Study on Drug Repurposing for ALS Treatment Using Pre-trained Knowledge Graph Embeddings: Methods and Findings." Düzce Üniversitesi Bilim ve Teknoloji Dergisi 13, no. 1 (2025): 317–32. https://doi.org/10.29130/dubited.1507832.

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In this study, research has been conducted using pre-trained knowledge graph embedding for drug repurposing in treating ALS (Amyotrophic Lateral Sclerosis), and its results have been presented. Drug repurposing studies for ALS have been carried out through two main methods: disease-drug relationship and genes-drugs relationship. Drug repurposing recommendations for ALS have been provided by predicting connections between disease and drug entities on the DRKG (Drug Repurposing Knowledge Graph). The findings obtained from the study have been evaluated by comparing them with the list of clinical

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9

Boffito, Marta, Edward Acosta, David Burger, et al. "Therapeutic Drug Monitoring and Drug–Drug Interactions Involving Antiretroviral Drugs." Antiviral Therapy 10, no. 4 (2005): 469–77. http://dx.doi.org/10.1177/135965350501000413.

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The consensus of current international guidelines for the treatment of HIV infection is that data on therapeutic drug monitoring (TDM) of non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) provide a framework for the implementation of TDM in certain defined scenarios in clinical practice. However, the utility of TDM is considered to be on an individual basis until more data are obtained from large clinical trials showing the benefit of TDM. In April 2004, a panel of experts met for the second time in Rome, Italy. This was following the inaugural meeting in P

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10

Soodalter, Jesse, Marta Sousa, and Marta Boffito. "Drug–drug interactions involving new antiretroviral drugs and drug classes." Current Opinion in Infectious Diseases 22, no. 1 (2009): 18–27. http://dx.doi.org/10.1097/qco.0b013e328320d573.

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11

Jefferson, James W., John H. Greist, Judith Carroll, and Margaret Baudhuin. "Drug-drug and drug-disease interactions with nonsteroidal anti-inflammatory drugs." American Journal of Medicine 81, no. 5 (1986): 948. http://dx.doi.org/10.1016/0002-9343(86)90382-7.

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12

Craig Brater, D. "Drug-drug and drug-disease interactions with nonsteroidal anti-inflammatory drugs." American Journal of Medicine 80, no. 1 (1986): 62–77. http://dx.doi.org/10.1016/0002-9343(86)90933-2.

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13

Ismatov, Farrukh Asliddinovich. "DRUG TREATMENT WITH NON-STEROIDAL ANTI-INFLAMMATORY DRUGS JAW ALVEOLITIS." Frontline Medical Sciences and Pharmaceutical Journal 02, no. 03 (2022): 88–94. http://dx.doi.org/10.37547/medical-fmspj-02-03-09.

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Non-steroidal anti-inflammatory drugs are widely used to suppress inflammation in the body. NSAIDs are available in different forms: tablets, capsules, ointments. They have three main properties: antipyretic, anti-inflammatory and analgesic. The best non-steroidal anti-inflammatory drug can only be chosen by a doctor, based on the individual characteristics of the patient. Self-treatment in this case may be fraught with serious adverse reactions or overdose. We suggest reading the list of drugs. The rating is based on value for money, patient feedback and expert opinion.

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14

More, Dr Sonali Ramakant. "Drug – Drug Interaction of Phenytoin and Isoniazid." Journal of Medical Science And clinical Research 05, no. 04 (2017): 19927–30. http://dx.doi.org/10.18535/jmscr/v5i4.34.

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15

Obach, R. S. "Drug-drug interactions: An important negative attribute in drugs." Drugs of Today 39, no. 5 (2003): 301. http://dx.doi.org/10.1358/dot.2003.39.5.799456.

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16

Yoshiyama, Yuji, Takashi Sugiyama, Motoko Kanke, and Kanji Tsuchimoto. "Drug–Drug Interactions between Antiarrhythmic Drugs in Chick Embryos." Biological & Pharmaceutical Bulletin 27, no. 1 (2004): 128–30. http://dx.doi.org/10.1248/bpb.27.128.

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17

Hollingsworth, M. "Drugs and pregnancy maternal drug handling - fetal drug exposure." Early Human Development 11, no. 3-4 (1985): 345. http://dx.doi.org/10.1016/0378-3782(85)90091-x.

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18

Pelliccia, Francesco, Fabiana Rollini, Giuseppe Marazzi, Cesare Greco, Carlo Gaudio, and Dominick J. Angiolillo. "Drug–drug interactions between clopidogrel and novel cardiovascular drugs." European Journal of Pharmacology 765 (October 2015): 332–36. http://dx.doi.org/10.1016/j.ejphar.2015.08.059.

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19

Klatt, Sabine, Martin F. Fromm, and Jörg König. "Transporter-Mediated Drug–Drug Interactions with Oral Antidiabetic Drugs." Pharmaceutics 3, no. 4 (2011): 680–705. http://dx.doi.org/10.3390/pharmaceutics3040680.

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20

Defoort, P. "Drugs and pregnancy. Maternal drug handling. Fetal drug exposure." European Journal of Obstetrics & Gynecology and Reproductive Biology 22, no. 5-6 (1986): 384. http://dx.doi.org/10.1016/0028-2243(86)90133-4.

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21

Barakat, Marina, Sara Wahdan, Azza Awad, and Ebtehal El-Demerdash Zaki. "Direct Acting Antiviral Drugs: Pharmacokinetics and Drug-Drug Interactions." Archives of Pharmaceutical Sciences Ain Shams University 6, no. 2 (2022): 274–91. http://dx.doi.org/10.21608/aps.2023.189971.1106.

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22

Plant, Martin A. "Drugs and drug problems." Midwifery 1, no. 3 (1985): 133–34. http://dx.doi.org/10.1016/s0266-6138(85)80030-9.

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23

A. Amer, Sayed. "المخدرات الجديدة: العقاقير المصممة". Security Policy Paper 2, № 2 (2021): 01–03. http://dx.doi.org/10.26735/ndan7653.

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24

Allahgholi, Milad, Hossein Rahmani, Delaram Javdani, et al. "DDREL: From drug-drug relationships to drug repurposing." Intelligent Data Analysis 26, no. 1 (2022): 221–37. http://dx.doi.org/10.3233/ida-215745.

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Analyzing the relationships among various drugs is an essential issue in the field of computational biology. Different kinds of informative knowledge, such as drug repurposing, can be extracted from drug-drug relationships. Scientific literature represents a rich source for the retrieval of knowledge about the relationships between biological concepts, mainly drug-drug, disease-disease, and drug-disease relationships. In this paper, we propose DDREL as a general-purpose method that applies deep learning on scientific literature to automatically extract the graph of syntactic and semantic relat

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25

Aziz Ahmad, Kashif, Saleha Akram Nizami, and Muhammad Haroon Ghous. "Coronavirus - Drug Discovery and Therapeutic Drug Monitoring Options." Pharmaceutics and Pharmacology Research 5, no. 2 (2022): 01–04. http://dx.doi.org/10.31579/2693-7247/044.

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COVID-19 is basically a medium size RNA virus and the nucleic acid is about 30 kb long, positive in sense, single stranded and polyadenylated. The RNA which is found in this virus is the largest known RNA and codes for a large polyprotein. In addition, coronaviruses are capable of genetic recombination if 2 viruses infect the same cell at the same time. SARS-CoV emerged first in southern China and rapidly spread around the globe in 2002–2003. In November 2002, an unusual epidemic of atypical pneumonia with a high rate of nosocomial transmission to health-care workers occurred in Foshan, Guangd

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26

Aesha, Matroja, Sneha Singh Miss., and Karunakar Shukla Dr. "Formulation and evaluation of microsphere of Dalbergia sisso and its antimicrobial activity." Pharmaceutical and Chemical Journal 10, no. 5 (2023): 18–44. https://doi.org/10.5281/zenodo.13997571.

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Microspheres play a very important role as particulate drug delivery system because of their small size and other efficient properties. These have been proved to be a suitable bridge to scale the distance over to formulate an effective dosage form, so simulate controlled drag release. These microspheres are used for drug delivery, wherein the drug can be encapsulated or in entrapped form Polymeric microspheres are ideal vehicles for many controlled delivery applications due to their ability to encapsulate a variety of drugs, biocompatibility, high bioavailability and sustained drug release cha

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27

Abdulsamed, Mohamed, Ashraf A Naass, Mohamed S. A. Eswani, Mohamed O Elbasir, and Sedigh Bashir. "Advancing Precision Drug Therapy in Pregnant Women: PBPK Modeling of Antiviral Drugs." Translational Medicine: Open Access 2, no. 2 (2024): 01–17. https://doi.org/10.33140/tmoa.02.02.01.

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PBPK/PD modeling is essential in modern drug development. Traditional drug development methods frequently rely on trial and error, which can be time-consuming, costly, and could be risky. Predicting pharmacokinetics (PK) of drugs in pregnant women, encompassing the intricate aspect of placental drug transfer, remains a complex task. This study was to compare of simulated or predicted and observed (previously published approaches) pharmacokinetic parameters among the four antiviral drugs in pregnant and non-pregnant women. In addition, this investigation endeavors to construct and assess physio

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28

KONIECZNY, KAJA, and PAUL DORIAN. "Clinically Important Drug–Drug Interactions Between Antiarrhythmic Drugs and Anticoagulants." Journal of Innovations in Cardiac Rhythm Management, no. 3 (March 1, 2019): 3552–59. http://dx.doi.org/10.19102/icrm.2019.100304.

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29

Tatebe, Yasuhisa, Satoshi Esumi, Yoshihisa Kitamura, and Toshiaki Sendo. "Drug interaction (42. Drug interaction of new-generation antiepileptic drugs)." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 130, no. 2 (2018): 85–89. http://dx.doi.org/10.4044/joma.130.85.

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30

Gennari, Alessandra. "DRUG TO DRUG INTERACTIONS FROM THE NEWER ANTI-CANCER DRUGS." Breast 59 (October 2021): S34. http://dx.doi.org/10.1016/s0960-9776(21)00514-2.

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31

Dickson, Michael, Thomas J. Bramley, Chris Kozma, Dilesh Doshi, and Marcia F. T. Rupnow. "Potential drug–drug interactions with antiepileptic drugs in Medicaid recipients." American Journal of Health-System Pharmacy 65, no. 18 (2008): 1720–26. http://dx.doi.org/10.2146/ajhp070508.

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32

Hirano, Masaru, Kazuya Maeda, Yoshihisa Shitara, and Yuichi Sugiyama. "DRUG-DRUG INTERACTION BETWEEN PITAVASTATIN AND VARIOUS DRUGS VIA OATP1B1." Drug Metabolism and Disposition 34, no. 7 (2006): 1229–36. http://dx.doi.org/10.1124/dmd.106.009290.

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33

Bhutani, Hemant, Saranjit Singh, and K. C. Jindal. "Drug-Drug Interaction Studies on First-Line Anti-tuberculosis Drugs." Pharmaceutical Development and Technology 10, no. 4 (2005): 517–24. http://dx.doi.org/10.1080/10837450500299982.

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34

Wishart, David S., Craig Knox, An Chi Guo, et al. "DrugBank: a knowledgebase for drugs, drug actions and drug targets." Nucleic Acids Research 36, suppl_1 (2007): D901—D906. http://dx.doi.org/10.1093/nar/gkm958.

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35

Mehta, Hemalkumar B., and G. Caleb Alexander. "Managing Drug-Drug Interactions—So Many Drugs, So Little Evidence." JAMA Network Open 7, no. 9 (2024): e2432649. http://dx.doi.org/10.1001/jamanetworkopen.2024.32649.

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36

Akbulut, Muge, and Yuksel Urun. "Onco-cardiology: Drug-drug interactions of antineoplastic and cardiovascular drugs." Critical Reviews in Oncology/Hematology 145 (January 2020): 102822. http://dx.doi.org/10.1016/j.critrevonc.2019.102822.

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37

Sahasrabudhe, Vaishali, Tong Zhu, Alfin Vaz, and Susanna Tse. "Drug Metabolism and Drug Interactions: Potential Application to Antituberculosis Drugs." Journal of Infectious Diseases 211, suppl 3 (2015): S107—S114. http://dx.doi.org/10.1093/infdis/jiv009.

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38

Liu, Fang, Yu Song, Ya-Nan Liu, Yan-Tuan Li, Zhi-Yong Wu, and Cui-Wei Yan. "Drug-Bridge-Drug Ternary Cocrystallization Strategy for Antituberculosis Drugs Combination." Crystal Growth & Design 18, no. 3 (2018): 1283–86. http://dx.doi.org/10.1021/acs.cgd.7b01738.

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39

Prokeš, Michal, and Josef Suchopár. "Drug-drug interactions of drugs for treatment of overactive bladder." Klinická farmakologie a farmacie 39, no. 1 (2025): 44–51. https://doi.org/10.36290/far.2025.016.

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40

Iqbal, Syed Talat, Zainab Batool, Haseeba Amir, and Tamkenat Mansoor. "DRUG-DRUG INTERACTIONS;." Professional Medical Journal 21, no. 03 (2014): 441–44. http://dx.doi.org/10.29309/tpmj/2014.21.03.2018.

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Introduction: This research paper is based on a study conducted on the in-doorpatients at a teaching hospital in Gujrat, Pakistan, in order to check for the frequency with whichPenicillins, Quinolones and Cephalosporins are being used together and in combinations withother drugs and the drug-drug interactions that occur due to these combinations and theirimpacts on the patients. Objectives: (1) To check the frequency with which Penicillins,Quinolone and Cephalosporins are being used in different combinations in patients. (2) Todetermine their drug-drug interactions. (3) Impact on patients due

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41

Fernández de Palencia Espinosa, Ma Ángeles, Ma Sacramento Díaz Carrasco, Andrés Sánchez Salinas, Amelia de la Rubia Nieto, and Alberto Espuny Miró. "Potential drug–drug interactions in hospitalised haematological patients." Journal of Oncology Pharmacy Practice 23, no. 6 (2016): 443–53. http://dx.doi.org/10.1177/1078155216664201.

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Background Frequently, haematological patients undergo highly complex and intensive treatment protocols, so a high risk of drug–drug interactions could be expected. Objectives To determine prevalence of clinically relevant drug–drug interactions, to identify the most frequent drug–drug interactions and associated risk factors. Methods A prospective, observational and descriptive study was carried out from November 2012 to February 2013. Twice a week, every patient’s treatment sheet was collected. Each medication list was screened through two databases: Thomson MicromedexTM and Drug Interaction

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42

Puwar, Dr Bhavna, Dr Vaibhavi Patel, and Dr Sheetal Vyas. "Injection Drug Users (Idus) and their Drug Injecting Behavior." Global Journal For Research Analysis 2, no. 1 (2012): 160–61. http://dx.doi.org/10.15373/22778160/january2013/23.

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43

Zhang, L., F. Wu, S. C. Lee, H. Zhao, and L. Zhang. "pH-Dependent Drug–Drug Interactions for Weak Base Drugs: Potential Implications for New Drug Development." Clinical Pharmacology & Therapeutics 96, no. 2 (2014): 266–77. http://dx.doi.org/10.1038/clpt.2014.87.

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44

Uwai, Yuichi. "Enantioselective Drug Recognition by Drug Transporters." Molecules 23, no. 12 (2018): 3062. http://dx.doi.org/10.3390/molecules23123062.

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Drug transporters mediate the absorption, tissue distribution, and excretion of drugs. The cDNAs of P-glycoprotein, multidrug resistance proteins (MRPs/ABCC), breast cancer resistance protein (BCRP/ABCG2), peptide transporters (PEPTs/SLC15), proton-coupled folate transporters (PCFT/SLC46A1), organic anion transporting polypeptides (OATPs/SLCO), organic anion transporters (OATs/SLC22), organic cation transporters (OCTs/SLC22), and multidrug and toxin extrusions (MATEs/SLC47) have been isolated, and their functions have been elucidated. Enantioselectivity has been demonstrated in the pharmacokin

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45

EZEGBE, CHEKWUBE, Ogechukwu Umeh, and Sabinus Ofoefule. "Drug Carriers." Journal of Current Biomedical Research 2, no. 1 (2022): 77–105. http://dx.doi.org/10.54117/jcbr.v2i1.3.

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In recent years, there has been an exponential interest in the development of novel drug delivery systems using drug carriers. Drug carriers offer significant advantages over the conventional drug delivery systems in terms of high stability, high specificity, high drug loading capacity, controlled release of drug and ability to deliver both hydrophilic and hydrophobic drugs. As a result of their unique behaviors, drug carriers have a wide range of biomedical and industrial applications. Nanospheres are associated with a lot of benefits such as ease of administration to target sites, reduction

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46

Brown, Adam S., and Chirag J. Patel. "MeSHDD: Literature-based drug-drug similarity for drug repositioning." Journal of the American Medical Informatics Association 24, no. 3 (2016): 614–18. http://dx.doi.org/10.1093/jamia/ocw142.

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Objective: Drug repositioning is a promising methodology for reducing the cost and duration of the drug discovery pipeline. We sought to develop a computational repositioning method leveraging annotations in the literature, such as Medical Subject Heading (MeSH) terms. Methods: We developed software to determine significantly co-occurring drug-MeSH term pairs and a method to estimate pair-wise literature-derived distances between drugs. Results We found that literature-based drug-drug similarities predicted the number of shared indications across drug-drug pairs. Clustering drugs based on thei

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47

Taburet, Anne-Marie, and Eric Singlas. "Drug Interactions with Antiviral Drugs." Clinical Pharmacokinetics 30, no. 5 (1996): 385–401. http://dx.doi.org/10.2165/00003088-199630050-00005.

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48

Eadie, M. J. "Therapeutic drug monitoring - antiepileptic drugs." British Journal of Clinical Pharmacology 52, S1 (2001): 11–20. http://dx.doi.org/10.1111/j.1365-2125.2001.00394.x.

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49

Campbell, T. J., and K. M. Williams. "Therapeutic drug monitoring: antiarrhythmic drugs." British Journal of Clinical Pharmacology 52, S1 (2001): 21–33. http://dx.doi.org/10.1111/j.1365-2125.2001.00768.x.

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50

Le Couteur, D. G., A. J. McLachlan, and R. de Cabo. "Aging, Drugs, and Drug Metabolism." Journals of Gerontology Series A: Biological Sciences and Medical Sciences 67A, no. 2 (2011): 137–39. http://dx.doi.org/10.1093/gerona/glr084.

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