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Journal articles on the topic 'Drug selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Podrid, P. J. "Antiarrhythmic Drug Selection." Annual Review of Medicine 38, no. 1 (1987): 1–17. http://dx.doi.org/10.1146/annurev.me.38.020187.000245.

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2

Klunker, W. "Boenninghausen's drug selection." British Homoeopathic journal 85, no. 1 (1996): 41. http://dx.doi.org/10.1016/s0007-0785(96)80038-x.

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3

Crumrine, Patricia K. "Antiepileptic Drug Selection in Pediatric Epilepsy." Journal of Child Neurology 17, no. 2_suppl (2002): 2S2–2S8. http://dx.doi.org/10.1177/08830738020170020701.

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This review article presents information concerning treatment options for various pediatric epilepsy syndromes. The decisions made in the selection of antiepileptic drugs are determined by a number of variables that include, but are exclusive of, risk of seizure recurrence, patient age, epilepsy syndrome, known drug reactions, and prognosis of the epilepsy syndrome. The review discusses issues pertinent to antiepileptic drug selection including simple pharmacokinetic principles, antiepileptic drug formulations, and information concerning clinical studies using some of the antiepileptic drugs.

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4

Brook, Robert D. "Drug selection in hypertension." ACC Current Journal Review 13, no. 12 (2004): 21–26. http://dx.doi.org/10.1016/j.accreview.2004.11.003.

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5

Usmonova., M. K., F. X. Maksudova., and A. M. Usubbaev. "DEKSKETOPROFEN TRAMETAMOL CAPSULE DRUG FORM COMPOSITION SELECTION AND TECHNOLOGY DEVELOPMENT." American Journal Of Biomedical Science & Pharmaceutical Innovation 3, no. 12 (2023): 6–13. http://dx.doi.org/10.37547/ajbspi/volume03issue12-02.

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Previous research has investigated the technological properties of the dexketoprofen trametamol substance and has been shown to be negative. For this reason, the article covers research on the selection, technology development of a complex of various auxiliary substances for the development of a capsule drug form based on the substance dexketoprofen trametamol. In it, the size of the capsule was determined on scientific basis, based on the scattering density of the substance, and encapsulated masses were prepared using various excipients. As a result of determining the technological properties

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Mitchell, Aaron Philip, Aaron Winn, and Stacie Dusetzina. "Pharmaceutical industry payments and oncologist drug selection." Journal of Clinical Oncology 35, no. 15_suppl (2017): 6510. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.6510.

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6510 Background: Financial relationships between physicians and the pharmaceutical industry are common, and have the potential to influence clinical practice in potentially inappropriate ways. Oncology may be an ideal setting to study the influence of industry payments on physician drug choice given the high levels of competition for market share and high prices commanded by orally administered oncologic drugs. Methods: We linked the Open Payments database of industry-physician financial transactions with the Medicare Part D Prescriber file by physician name and practice location. We used McFa

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Putri, Awanda Octavianti, and Eka Prasetyaningrum. "Sistem Pendukung Keputusan Pemilihan Supplier Dengan Metode AHP Pada Apotek & Laboratorium Klinik Interna Berbasis Web." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 4 (2021): 1353. http://dx.doi.org/10.30865/mib.v5i4.3236.

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Inventory of products or goods in the form of medicines and others is one of the work activities. In procuring products, in this case drugs, the selection of drug suppliers is very important for a drugstore business, pharmacy or regional hospital. Interna Pharmacy & Clinical Laboratory is a private pharmacy located in Sampit, East Kotawaringin, Central Kalimantan. The problem that exists at the Internal Pharmacy & Clinical Laboratory is the selection of suppliers by comparing several suppliers or only based on the thoughts of the owner, pharmacist or pharmacist assistant. Suppliers are

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sah, Sushilkumar, Dr AjayKumar Tiwari, and Prof B. Shrivastava. "FLOATING DRUG DELIVERY SYSTEMS: RATIONALE FOR DRUG SELECTION." International Journal of Advanced Research 4, no. 10 (2016): 127–33. http://dx.doi.org/10.21474/ijar01/1768.

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Lu, Da-Yong, and Ting-Ren Lu. "Drug sensitivity testing, a unique drug selection strategy." Advances in Biomarker Sciences and Technology 2 (2020): 59–66. http://dx.doi.org/10.1016/j.abst.2020.11.001.

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10

Banerjee, I., A. Saha, B. Sathian, B. Roy, and I. Banerjee. "Evaluation of Medical students perception on Personal Drug Selection for improving prospective Medical Education: A situational Analysis from Manipal College of Medical Sciences, Pokhara, Nepal." Nepal Journal of Medical Sciences 3, no. 2 (2015): 89–93. http://dx.doi.org/10.3126/njms.v3i2.13450.

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Background: Personal (P) drug selection is an important part of the pharmacology teaching and learning session. Most of the textbooks that are commonly followed by the medical schools of Nepal merely tell about the concepts of P drug selection. P drug selection lets students to think and make decisions about the drugs prescribed. The main objective of the study was to find the Medical students perspective of P- Drug selection from a medical college of Nepal.Methods: This cross sectional questionnaires based study was carried out at Manipal College of Medical Sciences, Pokhara, Nepal from July

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11

Maria, Nisa, Ferlina Vidyananda Susilo, and Mayannaria Simarmata. "Drug Selection, Dosage Adjustment, and Potential Interaction of Antihypertensive and Antidiabetic for Chronic Kidney Disease with Hemodialysis." JURNAL ILMU KEFARMASIAN INDONESIA 21, no. 2 (2023): 254. http://dx.doi.org/10.35814/jifi.v21i2.1484.

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Antihypertensive and antidiabetic drugs in CKD patients on hemodialysis may cause medication-related problems requiring monitoring. This study aimed to evaluate the selection, dosage, and potential drug interactions of antihypertensive and antidiabetic drugs in stage 5 CKD patients with hypertension and/or type 2 diabetes mellitus undergoing hemodialysis in a hospital in Jakarta. A crosssectional study used the medical records of adult in patients from January - December 2022 with a total sampling method. Out of 101 patients, 97.0% received appropriate drug selection. Dosage adjustments were a

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12

Wijaya, Dhani, Sadli Syarifuddin, Atiqoh Nur Habibah, et al. "Drug-related problems (DRPs) in hypertensive patients at Karsa Husada Batu Hospital, East Java, Indonesia: Evaluation based on drug selection." Pharmacy Education 24, no. 3 (2024): 412–17. http://dx.doi.org/10.46542/pe.2024.243.412417.

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Background: Hypertension significantly contributes to premature deaths globally. Drug selection has a vital role in the success of hypertension treatment, but incorrect selection could promote Drug-related problems (DRPs). Objective: This study evaluates DRPs based on the drug selection of inpatient hypertensive patients at Karsa Husada Batu Hospital, which is located in East Java, Indonesia. Method: This study was an observational study with a retrospective research design. The cases of DRPs were classified using the Pharmaceutical Care Network Europe (PCNE) DRP classification tool V9.1. This

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13

Banerjee, Indrajit. "Concepts of P Drug Selection." Nepal Journal of Epidemiology 3, no. 1 (2013): 226–29. http://dx.doi.org/10.3126/nje.v3i1.8280.

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Personal (P) drug selection is an important part of the pharmacology teaching and learning session. Most of the textbooks that are commonly followed by the medical schools of Nepal merely tell about the concepts of P drug selection. Most of the time it is found that student cannot follow the concepts of P drug. Most of the literature that is available is in the international level, like international journals, guide to good prescription, teachers guide to good prescription etc. At the national level very few references are available. The activity of P drug selection can reduce the chances of i

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14

Knowles, Jonathan, and Gianni Gromo. "Target selection in drug discovery." Nature Reviews Drug Discovery 2, no. 1 (2003): 63–69. http://dx.doi.org/10.1038/nrd986.

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15

Harrigan, P. Richard, and Christopher S. Alexander. "Selection of drug-resistant HIV." Trends in Microbiology 7, no. 3 (1999): 120–23. http://dx.doi.org/10.1016/s0966-842x(99)01467-5.

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16

Christensen, Thomas P., Duane M. Kirking, Frank J. Ascione, Lynda S. Welage, and Caroline A. Gaither. "Drug Product Selection: Legal Issues." Journal of the American Pharmaceutical Association (1996) 41, no. 6 (2001): 868–74. http://dx.doi.org/10.1016/s1086-5802(16)31328-6.

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17

Iqbal, Mir Javid, Mohammad Ishaq Geer, and Parvez Ahamd Dar. "DEVELOPMENT OF AN INDICATOR BASED TOOL FOR THE ASSESSMENT OF MEDICINES SELECTION PRACTICES IN VARIOUS PUBLIC SECTOR HOSPITALS." International Journal of Pharmacy and Pharmaceutical Sciences 8, no. 11 (2016): 205. http://dx.doi.org/10.22159/ijpps.2016v8i11.14536.

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Objective: To develop and validate an indicator based assessment tool for carrying out an in-depth assessment of drug selection practices prevalent at various public health facilities.Methods: The study was designed across the different levels of healthcare settings. One super specialty children’s tertiary care hospital (CH), one government medical college hospital (MCH), one district hospital (DH), one sub-district hospital (SDH) and one primary health center (PHC) was selected for the study. A set of 29 qualitative and 7 quantitative indicators was developed and validated to evaluate and ass

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18

Cheng, Lijun, Bryan P. Schneider, and Lang Li. "A bioinformatics approach for precision medicine off-label drug drug selection among triple negative breast cancer patients." Journal of the American Medical Informatics Association 23, no. 4 (2016): 741–49. http://dx.doi.org/10.1093/jamia/ocw004.

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ABSTRACT Background Cancer has been extensively characterized on the basis of genomics. The integration of genetic information about cancers with data on how the cancers respond to target based therapy to help to optimum cancer treatment. Objective The increasing usage of sequencing technology in cancer research and clinical practice has enormously advanced our understanding of cancer mechanisms. The cancer precision medicine is becoming a reality. Although off-label drug usage is a common practice in treating cancer, it suffers from the lack of knowledge base for proper cancer drug selections

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19

Chen, Lei, Kaiyu Chen, and Bo Zhou. "Inferring drug-disease associations by a deep analysis on drug and disease networks." Mathematical Biosciences and Engineering 20, no. 8 (2023): 14136–57. http://dx.doi.org/10.3934/mbe.2023632.

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<abstract> <p>Drugs, which treat various diseases, are essential for human health. However, developing new drugs is quite laborious, time-consuming, and expensive. Although investments into drug development have greatly increased over the years, the number of drug approvals each year remain quite low. Drug repositioning is deemed an effective means to accelerate the procedures of drug development because it can discover novel effects of existing drugs. Numerous computational methods have been proposed in drug repositioning, some of which were designed as binary classifiers that can

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20

G., Priyadarshini Bai, and Ravi Kumar P. "A study on concept of P- drug selection among rural general practitioners." International Journal of Basic & Clinical Pharmacology 6, no. 1 (2016): 155. http://dx.doi.org/10.18203/2319-2003.ijbcp20164772.

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Background: The objective of the study was to assess the awareness of P- drug selection among rural general practitioners’s (GP) for common medical conditions.Methods: Fifty general practitioners in Tumakuru district were provided with proformas for selection of P- drugs for mild to moderate hypertension, diabetes, upper respiratory tract infections and acid peptic disease based on safety, affordability, need, and efficacy (SANE criteria).Results: Forty one GP’s responded by completing the proformas. Seventeen of them were aware of the concept of P- drug selection. In hypertension, beta blocke

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21

Tuti, Sri Dias, Umi Athiyah, and Wahyu Utami. "Factors Affecting The Drugs Availability on Program Rujuk Balik (PRB) at PRB Drugs Facility in Ex Karesidenan Kediri (Study of Hipertension Drugs)." JURNAL ILMU KEFARMASIAN INDONESIA 16, no. 1 (2018): 30. http://dx.doi.org/10.35814/jifi.v16i1.437.

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PRB drugs service was given to chronically patients who still need long term treatment therefore there was need to guarantee the availability of medicines for their therapeutic needs. The objectives of this research were to know about PRB drug management, to know drug management support, policy, the availability of PRB drugs, and to analize the effects of drug management, drug management support, and policy on drug availability in PRB drug facility in Ex Karesidenan Kediri. Study on the availability of drugs hypertension due to prevalence of hypertension disease tends to increase from 7.6% in

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22

Kumar, Manish, Lalit Mohan, Hitesh Mishra, Akash Chandra, and Harihar Dikshit. "Students’ attitudes on personal drug selection exercise in writing prescription." International Journal of Basic & Clinical Pharmacology 7, no. 1 (2017): 147. http://dx.doi.org/10.18203/2319-2003.ijbcp20175691.

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Background: This study was developed to know the students’ views regarding personal drug (P-drug) concept in rational prescription of drugs and also giving them training of creating and using personal drug concept.Methods: 40 medical students (5th semester) divided in four groups were involved voluntarily in a three phase, questionnaire based and prospective study. In first and second phase students were taught and asked to derive P-drug using different standard text books and Current Index of Medical Specialties (CIMS) by analyzing efficacy, safety, cost and convenience of drugs used for type

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23

Faizullin, Sh B., and M. S. Musin. "Principles of rational selection and use of drug combinations." Kazan medical journal 67, no. 5 (1986): 397–400. http://dx.doi.org/10.17816/kazmj70726.

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Advances in pharmacy, pharmacology in recent years and the rapid development of the chemical-pharmaceutical industry have significantly expanded the arsenal of drugs used, the number of which continues to increase. With the introduction into practice of new drugs, the possibilities of etiotropic and pathogenetic therapy have increased. However, at the same time as the effectiveness of drug therapy has increased, it has become less safe. In recent years, cases of drug-induced side effects, which often exceed the severity of the underlying disease, have increased.

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24

Bottery, Michael J., A. Jamie Wood, and Michael A. Brockhurst. "Selective Conditions for a Multidrug Resistance Plasmid Depend on the Sociality of Antibiotic Resistance." Antimicrobial Agents and Chemotherapy 60, no. 4 (2016): 2524–27. http://dx.doi.org/10.1128/aac.02441-15.

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ABSTRACTMultidrug resistance (MDR) plasmids frequently carry antibiotic resistance genes conferring qualitatively different mechanisms of resistance. We show here that the antibiotic concentrations selecting for the RK2 plasmid inEscherichia colidepend upon the sociality of the drug resistance: the selection for selfish drug resistance (efflux pump) occurred at very low drug concentrations, just 1.3% of the MIC of the plasmid-free antibiotic-sensitive strain, whereas selection for cooperative drug resistance (modifying enzyme) occurred at drug concentrations exceeding the MIC of the plasmid-fr

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25

Mrazek, David A. "The Context of Genetic Testing in Clinical Psychiatric Practice." CNS Spectrums 11, S3 (2006): 3–4. http://dx.doi.org/10.1017/s1092852900025578.

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AbstractAlthough most patients with depression ultimately respond to antidepressant therapy, >50% have inadequate response to an individual antidepressant trial. The desire to avoid adverse drug reactions is common among patients, and is an important determinant of drug selection among psychiatrists. However, since the major classes of antidepressants and antipsychotics appear to be comparable in efficacy, clinicians have little basis for selecting the most effective agent for an individual patient. Pharmacogenetics, often described as the study of genetic variation that explains differenti

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Ntafoulis, Ioannis, Stijn L. W. Koolen, Olaf van Tellingen, et al. "A Repurposed Drug Selection Pipeline to Identify CNS-Penetrant Drug Candidates for Glioblastoma." Pharmaceuticals 17, no. 12 (2024): 1687. https://doi.org/10.3390/ph17121687.

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Background: Glioblastoma is an aggressive and incurable type of brain cancer. Little progress has been made in the development of effective new therapies in the past decades. The blood–brain barrier (BBB) and drug efflux pumps, which together hamper drug delivery to these tumors, play a pivotal role in the gap between promising preclinical findings and failure in clinical trials. Therefore, selecting drugs that can reach the tumor region in pharmacologically effective concentrations is of major importance. Methods: In the current study, we utilized a drug selection platform to identify candida

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Beilstein, Sabina, Radhia El Phil, Suzanne Sahraoui, Leonardo Scapozza, Marcel Kaiser, and Pascal Mäser. "Laboratory Selection of Trypanosomatid Pathogens for Drug Resistance." Pharmaceuticals 15, no. 2 (2022): 135. http://dx.doi.org/10.3390/ph15020135.

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The selection of parasites for drug resistance in the laboratory is an approach frequently used to investigate the mode of drug action, estimate the risk of emergence of drug resistance, or develop molecular markers for drug resistance. Here, we focused on the How rather than the Why of laboratory selection, discussing different experimental set-ups based on research examples with Trypanosoma brucei, Trypanosoma cruzi, and Leishmania spp. The trypanosomatids are particularly well-suited to illustrate different strategies of selecting for drug resistance, since it was with African trypanosomes

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Mott, David A., Jon C. Schommer, William R. Doucette, and David H. Kreling. "Agency Theory, Drug Formularies, and Drug Product Selection: Implications for Public Policy." Journal of Public Policy & Marketing 17, no. 2 (1998): 287–95. http://dx.doi.org/10.1177/074391569801700211.

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The authors describe the pharmaceutical utilization system and present the conceptual framework for agency theory. They then apply agency theory to the selection of pharmaceuticals and the role of drug formularies in drug selection. The use of drug formularies can increase the goal conflict and uncertainty related to the selection of drug products. The authors address public policy and research directions to suggest ways of reducing the level of goal conflict and uncertainty associated with drug selection. Recognition of agency relationships and the environment surrounding agency relationships

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Belialov, F. I. "Selection of medications in comorbidity." Russian Archives of Internal Medicine 10, no. 1 (2020): 57–60. http://dx.doi.org/10.20514/2226-6704-2020-10-1-57-60.

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New classification divides medications on five classes by influence on comorbid diseases and conditions and rates drug’s effects as favourable (A), possible (B), neutral (C), undesirable (D), and unfavourable (X). Class A includes drugs used in treatment of comorbid disease, class B embraced drugs with positive influence, class C includes drugs without significant influence or contradictory influence, class D consist of drugs with possible nonsevere adverse effects, and class X includes drugs with severe adverse effects. The more universal drug classification according to influence on comorbid

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Tillie, Nicole A., Jayson L. Parker, and Jordan J. Feld. "Clinical Trial Risk in Hepatitis C: Endpoint Selection and Drug Action." Canadian Journal of Gastroenterology and Hepatology 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/6260271.

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Background and Aims.This study analyzed the risk of clinical trial failure of new drugs for hepatitis C between January 1998 and January 2015.Methods.Hepatitis C drug development trials that were in phases I–III of clinical trial testing were obtained from the publicly accessible clinical trial repository and other publicly available databases. Drug compounds were excluded from the study if they began their phase I testing before 1998, if they were not industry sponsored, or if they treated secondary complications of hepatitis C. Clinical trial success rates were analyzed in comparison to indu

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31

&NA;. "Appropriate drug selection minimises performance impairment." Reactions Weekly &NA;, no. 427 (1992): 3. http://dx.doi.org/10.2165/00128415-199204270-00005.

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32

Shankar, Ravi P. "P-drug selection: Choosing medicines objectively." Nepal Journal of Epidemiology 3, no. 2 (2013): 251. http://dx.doi.org/10.3126/nje.v3i2.8510.

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I read with great interest the article by Banerjee I. about ‘Concepts of P drug selection’ in the current issue of the Nepal Journal of Epidemiology. Personal (P) drug selection is an excellent exercise to teach students to prescribe medicines based on objective criteria and unbiased sources of medicine information. I had been involved in initiating the exercise on P drug selection at Manipal College of Medical Sciences, Pokhara. I had also been involved with the exercise at KIST Medical College, Lalitpur. Recently I have started this exercise at the Xavier University School of Medicine at Aru

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33

Flammer, Keven. "Antibiotic Drug Selection in Companion Birds." Journal of Exotic Pet Medicine 15, no. 3 (2006): 166–76. http://dx.doi.org/10.1053/j.jepm.2006.06.003.

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34

Appelbaum, Peter C. "Resistance amongStreptococcus pneumoniae:Implications for Drug Selection." Clinical Infectious Diseases 34, no. 12 (2002): 1613–20. http://dx.doi.org/10.1086/340400.

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35

PODRID, P. "Systematic approach to antiarrhythmic drug selection." Journal of Molecular and Cellular Cardiology 18 (1986): 57. http://dx.doi.org/10.1016/s0022-2828(86)80200-0.

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36

Li, Gang, Yining Wang, and S. Peter Ouyang. "Interim Treatment Selection in Drug Development." Statistics in Biosciences 1, no. 2 (2009): 268–88. http://dx.doi.org/10.1007/s12561-009-9017-y.

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37

Kaminski, James J. "Computer-assisted drug design and selection." Advanced Drug Delivery Reviews 14, no. 2-3 (1994): 331–37. http://dx.doi.org/10.1016/0169-409x(94)90049-3.

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38

Yang, Yanling. "Drug Selection Preference in Hypertensive Patients." Metabolism 104 (March 2020): 154094. http://dx.doi.org/10.1016/j.metabol.2019.12.040.

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39

He, Jiang, and Paul K. Whelton. "Selection of initial antihypertensive drug therapy." Lancet 356, no. 9246 (2000): 1942–43. http://dx.doi.org/10.1016/s0140-6736(00)03300-6.

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40

Broughton, Howard B., and Ian A. Watson. "Selection of heterocycles for drug design." Journal of Molecular Graphics and Modelling 23, no. 1 (2004): 51–58. http://dx.doi.org/10.1016/j.jmgm.2004.03.016.

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41

Armstrong, Edward P., Alexander Bykov, and Anthony V. Savelli. "Introducing formulary drug selection in Russia." American Journal of Health-System Pharmacy 53, no. 4 (1996): 426–28. http://dx.doi.org/10.1093/ajhp/53.4.426.

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42

Barends, Clemens R. M., Anthony R. Absalom, and Michel M. R. F. Struys. "Drug selection for ambulatory procedural sedation." Current Opinion in Anaesthesiology 31, no. 6 (2018): 673–78. http://dx.doi.org/10.1097/aco.0000000000000652.

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43

BHATHENA, A., and B. SPEAR. "Pharmacogenetics: improving drug and dose selection." Current Opinion in Pharmacology 8, no. 5 (2008): 639–46. http://dx.doi.org/10.1016/j.coph.2008.07.013.

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Muegge, Ingo. "Selection criteria for drug-like compounds." Medicinal Research Reviews 23, no. 3 (2003): 302–21. http://dx.doi.org/10.1002/med.10041.

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45

Carey, Robert M. "Is Personalized Antihypertensive Drug Selection Feasible?" JAMA 329, no. 14 (2023): 1153. http://dx.doi.org/10.1001/jama.2023.3704.

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46

Perbawawati, Anna Adi, Endang Sugiharti, and Much Aziz Muslim. "Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs." Scientific Journal of Informatics 6, no. 1 (2019): 116–24. http://dx.doi.org/10.15294/sji.v6i1.14149.

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The development of technology capable to imitating the process of human thinking and led to a new branch of computer science named the expert system. One of the problem that can be solved by an expert system is selecting hypercholesterolemia drugs. Drug selection starts from find the symptoms and then determine the best drug for the patient. This is consist with the mechanism of forward chaining which starts from searching for information about the symptoms, and then try to illustrate the conclusions. To accommodate the missing fact, expert systems can be complemented with the Bayes theorem th

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47

Fanita, Dina, and Bosker Sinaga. "Supplier Selection Decision Support System Drug Wighted Methods Product (WP)." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 1 (2020): 135–39. http://dx.doi.org/10.47709/cnapc.v2i1.377.

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Supplier is very important for companies in services or goods, as well as parts procurement of medicines a Hospital, Hospital GrandMed is one of the largest hospital in Deli Serdang it's important to select suppliers for the procurement of drugs to be maintained and sustained quality of drug availabilitydrug and drug procurement logistics section to selectively choose a supplier with specific criteria so that the process of drug procurement at the Hospital GrandMed running properly and efficiently. The purpose of this study is to develop a decision support system to determine which is the best

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48

Park, Andrew W., James Haven, Ray Kaplan, and Sylvain Gandon. "Refugia and the evolutionary epidemiology of drug resistance." Biology Letters 11, no. 11 (2015): 20150783. http://dx.doi.org/10.1098/rsbl.2015.0783.

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Drug resistance is a long-standing economic, veterinary and human health concern in human and animal populations. Efficacy of prophylactic drug treatments targeting a particular pathogen is often short-lived, as drug-resistant pathogens evolve and reach high frequency in a treated population. Methods to combat drug resistance are usually costly, including use of multiple drugs that are applied jointly or sequentially, or development of novel classes of drugs. Alternatively, there is growing interest in exploiting untreated host populations, refugia , for the management of drug resistance. Refu

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VandeWaa, Elizabeth A., and Carolyn Dolan. "Mindful Prescribing: Drug Development, Drug Selection, and Advanced Nursing Practice." Journal for Nurse Practitioners 16, no. 3 (2020): 186–90. http://dx.doi.org/10.1016/j.nurpra.2019.12.014.

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50

Böger, R. H. "Drug interactions of the statins and consequences for drug selection." Int. Journal of Clinical Pharmacology and Therapeutics 39, no. 09 (2001): 369–82. http://dx.doi.org/10.5414/cpp39369.

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