Relevant bibliographies by topics / Drug

Academic literature on the topic 'Drug'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2024

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Journal articles on the topic "Drug"

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Khanapure, Amol, Pem Chuki, and Avinash De Sousa. "Drug Repositioning : Old Drugs For New Indications." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 462–66. http://dx.doi.org/10.15373/2249555x/august2014/119.

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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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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 (September 2019): 2008–12. http://dx.doi.org/10.21276/irjps.2019.6.3.11.

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Staltari, Orietta, Christian Leporini, Benedetto Caroleo, Emilio Russo, Antonio Siniscalchi, Giovambattista De Sarro, and Luca Gallelli. "Drug-Drug Interactions: Antiretroviral Drugs and Recreational Drugs." Recent Patents on CNS Drug Discovery 9, no. 3 (March 6, 2015): 153–63. http://dx.doi.org/10.2174/1574889809666141127101623.

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Isnenia, Isnenia. "Penggunaan Non-Steroid Antiinflamatory Drug dan Potensi Interaksi Obatnya Pada Pasien Muskuloskeletal." Pharmaceutical Journal of Indonesia 6, no. 1 (December 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 study with a cross sectional design. Data were taken from 100 medical records of patients who had diagnosed with top five musculoskeletal diseases. Data were analyzed descriptively for sex, ages, number of drugs, type of drugs, and potential drug interactions. Bivariate correlation with chi-square were conducted to find statistically significancy potential drug interactions with each variable consist of sex, ages, type of drugs and it’s diagnose. The result shows that the musculoskeletal patients were 44% male, 56% female. Most musculoskeletal patients were aged 18-65 years (78%). Patients who received drugs <5 were 68% and ≥ 5 were 32%. 54% of patients were taking the diclofenac and only 5% of patients were taking the two NSAIDs combination, diclofenac and ibuprofen. There was no significant correlation (p > 0,05) between potential drug interactions with age, sex, type of NSAID, and type of musculosceletal diseases.
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NIWA, Toshiro, Toshifumi SHIRAGA, and Akira TAKAGI. "Drug-Drug Interaction of Antifungal Drugs." YAKUGAKU ZASSHI 125, no. 10 (October 1, 2005): 795–805. http://dx.doi.org/10.1248/yakushi.125.795.

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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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Boffito, Marta, Edward Acosta, David Burger, Courtney V. Fletcher, Charles Flexner, Rodolphe Garaffo, Giorgio Gatti, et al. "Therapeutic Drug Monitoring and Drug–Drug Interactions Involving Antiretroviral Drugs." Antiviral Therapy 10, no. 4 (May 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 Perugia, Italy, in October 2000, which resulted in the manuscript published in AIDS 2002, 16(Suppl 1):S5–S37. The objectives of this second meeting were to review and update the numerous questions surrounding TDM of antiretroviral drugs and discuss the clinical utility, current concerns and future prospects of drug concentration monitoring in the care of HIV-1-infected individuals. A major focus of the meeting was to discuss and critically analyse recent and precedent clinical drug–drug interaction data to provide a clear framework of the pharmacological basis of how one drug may impact the disposition of another. This report, which has been updated to include material published or presented at international conferences up to the end of December 2004, reviews recent pivotal pharmacokinetic interaction data and provides advice to clinical care providers on how some drug–drug interactions may be prevented, avoided or managed, and, when data are available, on what dose adjustments and interventions should be performed.
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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 (February 2009): 18–27. http://dx.doi.org/10.1097/qco.0b013e328320d573.

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Ismatov, Farrukh Asliddinovich. "DRUG TREATMENT WITH NON-STEROIDAL ANTI-INFLAMMATORY DRUGS JAW ALVEOLITIS." Frontline Medical Sciences and Pharmaceutical Journal 02, no. 03 (March 1, 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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Dissertations / Theses on the topic "Drug"

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Keesling, James Richard. "An evaluation of the drugs crime nexus, legalization of drugs, drug enforcement, and drug treatment rehabilitation." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1697.

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Law enforcement agencies are faced with the problem of how to reduce crime in the most economical method possible without violating the law. Since drug offenders also engage in a disproportionate amount of non-drug crime, then drug enforcement is considered as an acceptable general crime control method. Unfortuantely, this is an expensive option because incarcerating offenders is both costly and ony a short-term solution to the problem. A review of existing research examining the prior criminal histories of drug offenders compared to their previous involvement in violent and property crime is conducted to evaluate this relationship.
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Apps, MIchael Garry. "Platinum anticancer drugs and drug delivery systems." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14409.

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In this thesis two different ways to improve platinum-based chemotherapy were investigated. The first was through the use of a new slow release clay-based drug delivery vehicle and the second through the design and synthesis of novel dinuclear platinum complexes. For the clay-based drug delivery research, the platinum anticancer complex [(1,10-phenanthroline)(1S,2S-diaminocyclohexane)platinum(II)] chloride, PHENSS, was loaded into montmorillonite (MMT) clay. The PHENSS was found to be incompletely burst released from the MMT. The MMT also had a negative effect on the in vitro cytotoxicity of PHENSS in the human breast cancer cell lines MCF-7 and MDA-MB-231. Overall the results demonstrate that MMT is not a suitable slow release vehicle for PHENSS. For the dinuclear platinum complex synthesis research, new bispyridine-based bridging ligands were synthesised using an amide coupling reaction. The bridging ligands were then reacted with transplatin to yield the dinuclear platinum complexes. The platinum complexes have potential application as anticancer agents and the synthetic method can be modified to produce other multinuclear complexes.
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Yeh, Teng-Kuang. "Pharmacokinetics of anti-aids and anti-cancer drugs : implications on drug delivery and drug interaction /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu148654688938101.

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Mannheimer, Buster. "Drug-related problems with special emphasis on drug-drug interactions." Stockholm : Department of Clinical Science and Education, Karolinska Institutet, 2009. http://diss.kib.ki.se/2009/978-91-7409-602-6/.

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Carroll, Steven M. McGuire Marvin H. "The economics of the drug war : effective federal policy or missed opportunity? /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FCarroll%5FMcGuire.pdf.

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Osorio, Javier. "Hobbes on drugs| Understanding drug violence in Mexico." Thesis, University of Notre Dame, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3738644.

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This dissertation analyzes the unprecedented eruption of organized criminal violence in Mexico. To understand the dynamics of drug violence, this dissertation addresses three questions. What explains the onset of the war on drugs in Mexico? Once the conflict starts, why does drug violence escalate so rapidly? And lastly, why is there subnational variation in the concentration of violence?

Based on a game theoretic model, the central argument indicates that democratization erodes the peaceful configurations between the state and criminal organizations and motivates authorities to fight crime, thus triggering a wave of violence between the state and organized criminals and among rival criminal groups fighting to control strategic territories. In this account, state action is not neutral: law enforcement against a criminal group generates the opportunity for a rival criminal organization to invade its territory, thus leading to violent interactions among rival criminal groups. These dynamics of violence tend to concentrate in territories favorable for the reception, production and distribution of drugs. In this way, the disrupting effect of law enforcement unleashes a massive wave of violence of all-against-all resembling a Hobbesian state of war.

To test the observable implications of the theory, the empirical assessment relies on a novel database of geo-referenced daily event data at municipal level providing detailed information on who did what to whom, when and where in the Mexican war on drugs. This database covers all municipalities of the country between 2000 and 2010, thus comprising about 9.8 million observations. The creation of this fine-grained database required the development of Eventus ID, a novel software for automated coding of event data from text in Spanish. The statistical assessment relies on quasi-experimental identification strategies and time-series analysis to overcome problems of causal inference associated with analyzing the distinct - yet overlapping - processes of violence between government authorities and organized criminals and among rival criminal groups. In addition, the statistical analysis is complemented with insights from fieldwork and historical process tracing. Results provide strong support for the empirical implications derived from the theoretical model.

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Raedisch, Steffen. "Drug transport and drug-drug interactions at the blood-brain barrier." Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/2005162/.

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Membrane transporters are increasingly recognised as being important in determining drug pharmacokinetics at whole body, organ, and cellular levels. At the blood-­‐brain barrier (BBB), membrane transporters determine the passage of drugs into and out of the brain. About 30 % of all patients are classed as non-­‐responders for both epilepsy and schizophrenia. Drug transporters from the adenosine 5'-­‐ triphosphate (ATP)-­‐binding cassette (ABC) transporter family or from the solute carrier (SLC) superfamily may contribute to these drug resistant phenotypes but most have received limited attention. Treatment response to carbamazepine (CBZ) has been associated with genetic polymorphisms in ABCC2, particularly -­‐24C>T, c.1249G>A, and c.3972C>T. However, the results have been conflicting and inconclusive amongst the different studies. A functional and clinical analysis was undertaken to investigate the impact of ABCC2 on CBZ treatment response. In vitro, no ABCC2-­‐mediated CBZ transport could be observed in efflux assays with an ABCC2-­‐transfected human fibrosarcoma cell line (Rht14-­‐10) and a dog kidney cell line (MDCKII). In addition, uptake into inside-­‐out vesicles derived from the Rht14-­‐10 cell line was negative. Clinical analysis of patients from the SANAD (Standard and New Antiepileptic Drugs) trial (assessing the clinical end-­‐points time to first seizure (n = 229) and time to 12-­‐month remission (n = 134)) did not show any significant associations between the three ABCC2 gene polymorphisms, -­‐24C>T, c.1249G>A, c.3972C>T, and clinical outcomes. In an attempt to identify currently unrecognised human drug transporters with potential relevance to epilepsy and schizophrenia, screening of transport of CBZ, lamotrigine (LTG), topiramate (TPM), levetiracetam, valproate, phenytoin, and clozapine (CLP) was undertaken using an immortalised human brain endothelial cell line (hCMEC/D3) as an in vitro model of the BBB. Accumulation of TPM was significantly enhanced by 44-­‐53 % in the presence of the typical ABCC efflux transporter inhibitors MK571 and montelukast. Furthermore, CLP uptake was significantly reduced by 94 % and 83 % in the presence of the typical organic cation transporter inhibitors prazosin and verapamil, respectively. CLP uptake into the hCMEC/D3 cell line followed classical Michaelis-­‐Menten kinetics with Vmax of 3288 (pmol/million cells)/min and Km of 35.93 μM. To identify the exact underlying transporters involved in TPM efflux and CLP uptake, both functional siRNA screening was undertaken and transport was investigated in transfected cell lines. None of the known functional ABCC transporters were shown to transport TPM. In addition, none of the expressed and functionally characterised organic cation transporters from the SLC22A family, as well as transporters from the SLC6A, SLC28A, and SLC29A families, had an effect on CLP accumulation. LTG has recently been identified as a substrate for SLC22A1 (OCT1). Interaction with the human immunodeficiency virus protease inhibitors lopinavir/ritonavir and the antipsychotic CLP was therefore investigated. At clinically relevant concentrations, lopinavir was found to significantly reduce SLC22A1-­‐mediated uptake of LTG by 39 %. In addition, CLP was a potent inhibitor of SLC22A1-­‐mediated LTG uptake yielding an IC50 of 1.8 μM. Similarly low IC50 values were obtained with primary human hepatocytes from two patients (IC50 = 7.9 μM and IC50 = 3.9 μM, respectively) and the hCMEC/D3 cell line (IC50 = 2.0 μM). The clinical consequences of these observations will require further in vivo pharmacokinetic and epidemiological research. In conclusion, the results presented in this thesis demonstrate that membrane transporters can be involved in the passage of AEDs and antipsychotics across the BBB and other membrane barriers. However, currently available in vitro methods proved to be insufficient to identify and characterise the underlying transporters involved and to further evaluate the impact on treatment efficacy. The development of large-­‐scale functional screening methodologies will be crucial for a more systematic and comprehensive understanding of drug transport processes involved in determining access of drugs to the central nervous system. This will help in improving drug efficacy and drug safety, allow prediction of drug-­‐drug interactions, and eventually allowed a more personalised approach to prescribing in diseases such as epilepsy and schizophrenia.
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Sikri, Vineet Mitra Ashim K. "Efflux transporters mediated drug-drug interaction." Diss., UMK access, 2004.

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Thesis (M.S.)--School of Pharmacy. University of Missouri--Kansas City, 2004.
"A thesis in pharmaceutical sciences." Typescript. Advisor: Ashim K. Mitra. Vita. Title from "catalog record" of the print edition Description based on contents viewed Feb 28, 2006. Includes bibliographical references (leaves 94-107). Online version of the print edition.
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Hughes, Caitlin Elizabeth. "Overcoming obstacles to reform : making and shaping drug policy in contemporary Portugal and Australia /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00003215.

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McGuffog, Ingrid Diana. "Drug Use and Drug Control Policy: Evaluating the Impact of Precursor Regulation on Drug User Behaviour." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/366750.

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Controlling the availability of illicit drugs and their use is an exemplar of a wicked problem. Reducing the scale of the illicit drugs market through suppressing supply has proven extremely difficult. A recent systematic review of studies by Cunningham and colleagues who have produced a series of research papers examining the impact of precursor regulations on various methamphetamine outcomes in North America, argue this research represents the most compelling evidence to date that ‘precursor regulations, or indeed any supply control strategy, can have significant impacts on the retail market for illicit drugs’. The review of this work concludes that the question for future research is ‘not so much whether precursor regulations work, but which regulations work best and in what context’; this is the starting point for my research. The market for methamphetamine is entrenched, broad and dynamic and represents an important criminological and public health problem in Australia. Within Australia the production of methamphetamine has been concentrated in Queensland and that state government has responded by developing a coercive regulatory framework which co-opts pharmacies into a partnership with drug law enforcement that is aimed at preventing the diversion of licit precursor chemicals to the illicit market for manufacture into methamphetamine. In 2005, the Queensland Pharmacy Guild in partnership with the Queensland Police Service developed an electronic medication recording system Project STOP, - which is a real-time web based database used by police to track and apprehend ‘pseudo runners’ - to facilitate adherence to the compulsory requirements of recording and reporting sales of pseudoephedrine placed upon them by both health regulations and the criminal law. In my thesis, I refer to the family of innovations (legislative, policy and technological interventions) underpinning the police–pharmacy partnership as Third Party Policing (TPP).
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Criminology and Criminal Justice
Arts, Education and Law
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Books on the topic "Drug"

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Zakharova, L. N. Ponimatʹ drug druga--. Moskva: Moskovskiĭ rabochiĭ, 1987.

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Zakharova, L. N. Ponimat' drug druga... Moskva: Moskovskii rabochii, 1987.

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Ward, Brian R. Drugs and drug abuse. London: F. Watts, 1987.

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1946-, Stangeland Per, ed. Drugs and drug control. Oslo: Norwegian University Press, 1987.

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Ward, Brian. Drugs and drug abuse. London: Watts, 1987.

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Ottenbrite, Raphael M., ed. Polymeric Drugs and Drug Administration. Washington, DC: American Chemical Society, 1994. http://dx.doi.org/10.1021/bk-1994-0545.

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Drugs, drug testing, and you. New York: Rosen Pub. Group, 1997.

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Oshanin, Lev. Veritʹ drug drugu: Moi festivali. Moskva: Molodai︠a︡ gvardii︠a︡, 1989.

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Petrovicheva, Galina. "Da li͡u︡bite drug druga": Stikhi. Ivanovo: Talka, 2002.

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Dvori︠a︡ne vse rodni︠a︡ drug drugu. Sankt-Peterburg: Rostok, 2005.

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Book chapters on the topic "Drug"

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Adedeji, Waheed A., Tunde Balogun, Fatai A. Fehintola, and Gene D. Morse. "Drug-Drug Interactions of Antimalarial Drugs." In Drug Interactions in Infectious Diseases: Antimicrobial Drug Interactions, 503–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72416-4_12.

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Folkers, Gerd, Elvan Kut, and Martin Boyer. "Drug Design: Designer Drugs." In X.media.publishing, 53–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-69002-3_5.

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Barber, James G. "Drugs and Drug Addiction." In Social Work with Addictions, 1–25. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-23805-7_1.

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Harris, Howard A., and Henry C. Lee. "Drugs and drug analysis." In Introduction to Forensic Science and Criminalistics, 327–56. Second edition. | Boca Raton, FL : CRC Press, [2019] | Revised edition of : Introduction to forensics & criminalistics / Howard A. Harris, Henry Lee, c2008.: CRC Press, 2019. http://dx.doi.org/10.4324/9781315119175-13.

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Ashraf, Saima, Nabila Bashir, Nadia Rashid, Adeel Hussain Chughtai, Khalid Mahmood Zia, Saadat Majeed, Muhammad Naeem Ashiq, Ghulam Murtaza, and Muhammad Najam-ul-Haq. "Introduction to Drugs, Drug Targets and Drug Resistance." In Biochemistry of Drug Resistance, 1–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76320-6_1.

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Simola, Nicola, Micaela Morelli, Tooru Mizuno, Suzanne H. Mitchell, Harriet de Wit, H. Valerie Curran, Celia J. A. Morgan, et al. "Drug–Drug Interactions." In Encyclopedia of Psychopharmacology, 430–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_741.

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Turnidge, John. "Drug–Drug Combinations." In Fundamentals of Antimicrobial Pharmacokinetics and Pharmacodynamics, 153–98. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-0-387-75613-4_8.

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Huang, Shiew-Mei. "Drug-Drug Interactions." In Applications of Pharmacokinetic Principles in Drug Development, 307–31. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9216-1_10.

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Qaqish, Roula, and Ronald E. Polk. "Drug-Drug Interactions." In Quinolone Antimicrobial Agents, 133–46. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555817817.ch7.

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Butler, Philip, and Robert J. Riley. "Drug-Drug and Food-Drug Interactions." In The ADME Encyclopedia, 448–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84860-6_87.

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Conference papers on the topic "Drug"

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Celebi, Remzi, Vahab Mostafapour, Erkan Yasar, Ozgur Gumus, and Oguz Dikenelli. "Prediction of Drug-Drug Interactions Using Pharmacological Similarities of Drugs." In 2015 26th International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2015. http://dx.doi.org/10.1109/dexa.2015.23.

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Unterecker, S., M. Scherf-Clavel, S. Treiber, J. Deckert, and L. Hommers. "Drug-drug interactions between lithium and antihypertensive and anti-inflammatory drugs." In Abstracts of the 2nd Symposium of the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) and Deutsche Gesellschaft für Biologische Psychiatrie (DGBP). Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0039-3403006.

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Khamenehfar, Avid, Ji Liu, Jia Cai, Michael Wong, Paul C. H. Li, Patrick Ling, and Pamela Russell. "Drug Accumulation Into Single Drug-Sensitive and Drug-Resistant Prostate Cancer Cells Conducted on the Single Cell Bioanalyzer." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36166.

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Multidrug resistance (MDR) occurs in prostate cancer, and this happens when the cancer cells resist chemotherapeutic drugs by pumping them out of the cells. MDR inhibitors such as cyclosporin A (CsA) can stop the pumping and enhance the drugs accumulated in the cells. The cellular drug accumulation is monitored using a microfluidic chip mounted on a single cell bioanalyzer. This equipment has been developed to measure accumulation of drugs such as doxorubicin (DOX) and fluorescently labeled paclitaxel (PTX) in single prostate cancer cells. The inhibition of drug efflux on the same prostate cell was examined in drug-sensitive and drug-resistant cells. Accumulation of these drug molecules was not found in the MDR cells, PC-3 RX-DT2R cells. Enhanced drug accumulation was observed only after treating the MDR cell in the presence of 5 μM of CsA as the MDR inhibitor. We envision this monitoring of the accumulation of fluorescent molecules (drug or fluorescent molecules), if conducted on single patient cancer cells, can provide information for clinical monitoring of patients undergoing chemotherapy in the future.
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Lu, Hongbin, Dingxin Song, Yu Zhu, and Lishuang Li. "Drug-Drug Interaction Extraction Using Drug Knowledge Graph." In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9995058.

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Kim, H., S. Min, S. Yu, Y. Jung, and H. Jeong. "4CPS-233 Analysis of drug prescriptions of incompatible drugs through drug utilisation review." In 24th EAHP Congress, 27th–29th March 2019, Barcelona, Spain. British Medical Journal Publishing Group, 2019. http://dx.doi.org/10.1136/ejhpharm-2019-eahpconf.382.

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Suryakrishna, S. S., K. Praveen, S. Tamilselvan, and S. Srinath. "IoT Based Automation and Blockchain for Medical Drug Storage and Smart Drug Store." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.8.

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The increase in the work stress and decrease in the time for oneself has led to the rise in the dependency on the medicines and drugs. The drugs and medicines are the key sources for saving the human life when the patient is in the danger. In order to maintain regular and quality supply of the drugs and medicines has to monitor on the regular basis. There are numerous medicines and drugs brought in the store but usually drugs and medicines are stolen to satisfy one’s greed, get expired or placed at unknown locations in the store. So to prevent such situation and saving the life of the patient Drug and Medicine Monitoring Model can be used. The model uses the RFID and IoT technology in order to monitor the drugs and medicines in the store. In medical and drug using systems which are increasing work stress and decreasing the time for oneself that has risen in dependency. The danger situation drugs and medicine is the main source for saving human life when the people are in danger. A daily regular basis to maintain a quality supply of the drug and medicine has been monitored. While traveling and transportation time is numerous medicines and drugs brought from the store but usually it is stolen to one’s greed and the medicines and drugs or placed at unknown locations. To prevent and save a patent life and monitoring model can be used to check the medicine and drug. In our model RFID tag and IoT technology can be used to monitor medicine and drug storage with the help of hospitals and how having a knowledge of the system and chemist of the medical and drugs available, the medicines and drugs quality of location and their safety.
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Zylich, Brian, Brian McCarthy, Andrew Schade, Huy Tran, Xiao Qin, Tabassum Kakar, and Elke A. Rundensteiner. "Drug-Drug Interaction Signal Detection from Drug Safety Reports." In 2018 IEEE MIT Undergraduate Research Technology Conference (URTC). IEEE, 2018. http://dx.doi.org/10.1109/urtc45901.2018.9244814.

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KOMARAGIRI, RAJESH. "Recycling of Drugs from Expired Drug Products." In 1st International Electronic Conference on Medicinal Chemistry. Basel, Switzerland: MDPI, 2016. http://dx.doi.org/10.3390/ecmc-1-a003.

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KOMARAGIRI, RAJESH. "Recycling of Drugs from Expired Drug Products." In 1st International Electronic Conference on Medicinal Chemistry. Basel, Switzerland: MDPI, 2015. http://dx.doi.org/10.3390/ecmc-1-a005.

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LIAPPAS, J., M. MALLIORI, A. KOKKEVI, P. KOUNDI, N. PAPAVASILIOU, and C. STEFANIS. "PRESCRIBING OF NON-ADDICTIVE DRUGS TO DRUG ADDICTS: ATTITUDE OF DRUG USERS AND EX-USERS." In IX World Congress of Psychiatry. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814440912_0123.

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Reports on the topic "Drug"

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Saffer, Henry, and Frank Chaloupka. State Drug Control and Illicit Drug Participation. Cambridge, MA: National Bureau of Economic Research, May 1999. http://dx.doi.org/10.3386/w7114.

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Fadlallah, Racha, Fadi El-Jardali, and Elie Akl. Which interventions are effective in combatting or preventing drug counterfeiting? SUPPORT, 2017. http://dx.doi.org/10.30846/170517.

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Drug counterfeiting is widespread globally, including in low- and middle-income countries. Counterfeit medicines may include medicines with the wrong ingredients, without active ingredients, with insufficient active ingredients or with fake packaging. Counterfeit drugs need to be distinguished from substandard drugs - the latter refers to genuine medicines that failed to meet certain quality specifications. Interventions to combat drug counterfeiting can broadly be categorized into laws and regulations, technological innovations and quality control and vigilance.
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Dave, Dhaval. Illicit Drug Use Among Arrestees and Drug Prices. Cambridge, MA: National Bureau of Economic Research, July 2004. http://dx.doi.org/10.3386/w10648.

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Ciapponi, Agustín. What are the effects of reference pricing and other pharmaceutical pricing and purchasing policies? SUPPORT, 2016. http://dx.doi.org/10.30846/1608143.

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Pharmaceutical pricing and purchasing policies are used to determine or affect the prices that are paid for drugs. This review found evidence for reference pricing, index pricing, and maximum prices. In reference pricing a reference drug is chosen amongst identical or similar medicines or therapeutically equivalent and the price of the reference drug is reimbursed for all the drugs in that group of drugs. For drugs that are more expensive than the reference drug, the patient has to pay the cost above the reference price. An index price is the maximum refundable price to pharmacies for drugs within an index group of therapeutically interchangeable drugs. A maximum price is a fixed price that attempts to secure pharmaceutical prices that are considered ‘reasonable’ for a given health system.
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Spencer, Merianne, Jodi Cisewski, Margaret Warner, and Matthew Garnett. Drug Overdose Deaths Involving Xylazine, United States, 2018–2021. National Center for Health Statistics (U.S.), June 2023. http://dx.doi.org/10.15620/cdc:129519.

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This study presents trends in drug overdose death rates involving xylazine from 2018 through 2021, overall and by sex. Rates of drug overdose deaths involving xylazine are also presented by age group and race and Hispanic origin from 2020 to 2021, and by the U.S. Department of Health and Human Services public health regions in 2021. Co-involvement for the most frequent drugs involved with xylazine is also reported.
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Dinlersoz, Emin M., Rubén Hernández-Murillo, Han Li, and Roger Sherman. Drug Prices under the Medicare Discount Drug Card Program. Federal Reserve Bank of St. Louis, 2005. http://dx.doi.org/10.20955/wp.2005.072.

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Hedegaard, Holly. Urban–Rural Differences in Drug Overdose Death Rates, 1999–2019. National Center for Health Statistics, March 2021. http://dx.doi.org/10.15620/cdc:102891.

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This report uses the most recent mortality data from the National Vital Statistics System (NVSS) to examine urban–rural differences in drug overdose death rates, for all drugs and by selected types of opioids and stimulants.
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Author, Not Given. Drug Retention Times. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/908420.

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Horowitz, Arthur M. Drug Regulatory Affairs. Fort Belvoir, VA: Defense Technical Information Center, July 1987. http://dx.doi.org/10.21236/ada200081.

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Horowitz, Arthur M. Drug Regulatory Affairs. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada206334.

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