[Drug interactions in pain therapy].

Schmerz

Institut für Klinische Pharmakologie, pharmazentrum frankfurt/ZAFES, Universitätsklinikum, Goethe Universität, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland.

Published: December 2015

Background: Pain is one of the most common reasons for consulting a physician. Chronic pain patients often suffer from a variety of comorbidities, such as depression and anxiety and they are therefore often simultaneously treated with more than one drug. The probability of drug interactions increases with every additional drug.

Material And Methods: A systematic internet and literature search up to February 2015 was carried out. Systematic lists were included. In addition, the drug prescription information sheets were used and an internet search via Pubmed and google.com was carried out for drugs alone and in combination in order to find substance-specific interactions.

Results: A differentiation is made between pharmaceutical, pharmacodynamic and pharmacokinetic drug interactions. Pharmaceutical interactions are caused by chemical, physical or physicochemical incompatibility of drugs or adjuvants used. These can even occur outside the body and during concomitant administration via the same route. A pharmacodynamic interaction in pain management is for example the additive sedative effect of opioids and benzodiazepines when taken together. Pharmacokinetic interactions occur during the absorption, distribution, metabolism and in the elimination phases.

Conclusion: Many drug interactions can be avoided by careful and continuous evaluation of pharmacotherapy and if necessary its adaptation; however, a sound knowledge of the underlying pharmacological mechanisms and the properties of currently used analgesics is necessary.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00482-015-0017-1DOI Listing

Publication Analysis

Top Keywords

drug interactions
12
drug
5
interactions
5
[drug interactions
4
pain
4
interactions pain
4
pain therapy]
4
therapy] background
4
background pain
4
pain common
4

Similar Publications

Interactions of polyelectrolytes (PEs) with proteins play a crucial role in numerous biological processes, such as the internalization of virus particles into host cells. Although docking, machine learning methods, and molecular dynamics (MD) simulations are utilized to estimate binding poses and binding free energies of small-molecule drugs to proteins, quantitative prediction of the binding thermodynamics of PE-based drugs presents a significant obstacle in computer-aided drug design. This is due to the sluggish dynamics of PEs caused by their size and strong charge-charge correlations.

View Article and Find Full Text PDF

Chiral Oxazoline-Triazole-Benzothiazole Molecular Triads: Photoactive Sensors for Enantioselective Carbohydrate Recognition in Solution.

JACS Au

January 2025

Instituto de Química, Universidade Federal do Rio Grande do Sul-UFRGS, Av. Bento Gonçalves 9500, 91501-970 Porto Alegre, Rio Grande do Sul, Brazil.

Understanding the mechanism of drug action in biological systems is facilitated by the interactions between small molecules and target chiral biomolecules. In this context, focusing on the enantiomeric recognition of carbohydrates in solution through steady-state fluorescence emission spectroscopy is noteworthy. To this end, we have developed a third generation of chiral optical sensors for carbohydrates, distinct from all of those previously presented, which interact with carbohydrates to form non-covalent probe-analyte interactions.

View Article and Find Full Text PDF

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships.

Comput Struct Biotechnol J

January 2025

Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, NY, USA.

Despite the wealth of single-cell multi-omics data, it remains challenging to predict the consequences of novel genetic and chemical perturbations in the human body. It requires knowledge of molecular interactions at all biological levels, encompassing disease models and humans. Current machine learning methods primarily establish statistical correlations between genotypes and phenotypes but struggle to identify physiologically significant causal factors, limiting their predictive power.

View Article and Find Full Text PDF

A young male with no known addictions and comorbidities presenting with recurrent clonic-myoclonic movements, initially localized to the left corner of the mouth and left upper limb, evolving into epilepsia partialis continua, despite appropriate sequential antiepileptic medications, subsequently progressed to refractory status epilepticus. He was tested positive for HIV infection and his neuroimaging revealed nonenhancing lesions, a novel finding in HIV-related encephalitis. We managed him with intravenous immunoglobulin along with multiple antiepileptic medications and highly active antiretroviral therapy (ART), and he exhibited a rapid clinical recovery over 3 weeks.

View Article and Find Full Text PDF

Resistance of cancer cells, especially breast cancer, to therapeutic medicines represents a major clinical obstacle that impedes the stages of treatment. Carcinoma cells that acquire resistance to therapeutic drugs can reprogram their own metabolic processes as a way to overcome the effectiveness of treatment and continue their reproduction processes. Despite the recent developments in medical research in the field of drug resistance, which showed some explanations for this phenomenon, the real explanation, along with the ability to precisely predict the possibility of its occurrence in breast cancer cells, still necessitates a deep consideration of the dynamics of the tumor's response to treatment.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!