ethanol interaction
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PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243222
Author(s):  
Kristof Segher ◽  
Liesbeth Huys ◽  
Tania Desmet ◽  
Evi Steen ◽  
Stefanie Chys ◽  
...  

Objectives Disulfiram is an adjunct in the treatment of alcohol use disorders, but case reports indicate that disulfiram ethanol reactions are not always recognized in the emergency department. Our first aim is to remind of this risk with two case reports of life-threatening reactions not immediately considered by the emergency physician. The second aim is to estimate the probability that a disulfiram reaction goes unrecognized with the use of a retrospective study of patients admitted to the emergency department. Methods Clinical files of patients admitted between October 1, 2010 and September 30, 2014 to the emergency department were retrospectively screened for the key words “ethanol use” and “disulfiram”. Their diagnoses were then scored by a panel regarding the probability of an interaction. Results Seventy-nine patients were included, and a disulfiram-ethanol reaction was scored as either ‘highly likely’, ‘likely’ or ‘possible’ in 54.4% and as ‘doubtful’ or ‘certainly not present’ in 45.6% of the patients. The interrater agreement was 0.71 (95% CI: 0.64–0.79). The diagnosis was not considered or only after a delay in 44.2% of the patients with a ‘possible’ to ‘highly likely’ disulfiram interaction. One patient with a disulfiram overdose died and was considered as a ‘possible’ interaction. Discussion and conclusions A disulfiram ethanol interaction can be life threatening and failure to consider the diagnosis in the emergency department seems frequent. Prospective studies with documentation of the intake of disulfiram and evaluation of the value of acetaldehyde as a biomarker are needed to determine the precise incidence. Improving knowledge of disulfiram interactions and adequate history taking of disulfiram intake may improve the care for patients.


2020 ◽  
Vol 21 (2) ◽  
pp. 71-81
Author(s):  
V. V. Afanasyev ◽  
A. G. Miroshnichenko ◽  
D. V. Buzanov ◽  
Yu. P. Orlov

Ethanol intoxication is analyzed from the point of ethanol interaction with receptors and enzymes. Ethanol dependence is based on neurochemical misbalance, which is different in acute ethanol intoxication and withdrawal. It is shown that the clinical manifestation of ethanol intoxication and its complications depends on ligand-receptor and enzyme imbalances. Pharmacological approaches to the treatment of acute ethanol intoxication and its complications at the pre-hospital stage and in the emergency, unit are discussed.


Medicines ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 79 ◽  
Author(s):  
Bryan Hedgpeth ◽  
Roy Missall ◽  
Anna Bambaci ◽  
Matthew Smolen ◽  
Sevgi Yavuz ◽  
...  

Background: Drug-ethanol interaction can result in hepatotoxicity. The liver is capable of metabolizing both acetaminophen and ethanol; however, severe acute or moderate chronic simultaneous exposure can cause cell and tissue damage. Therapeutic doses can become harmful if gene activity is altered via competition for metabolic pathways. Simultaneous intake of ethanol and acetaminophen results in overactive CYP2E1 and depletion of glutathione, leaving NAPQI to build up in the liver. NAPQI is a hepatotoxic substance typically neutralized by glutathione. Methods: Bioinformatics tools including PharmGKB, Chemical Annotation Retrieval Toolkit, Transcriptome Analysis Console 4.0 (TAC), wikipathways, STRING, and Ingenuity Pathway Analysis (IPA) were used to explore interactive metabolic pathways of ethanol-acetaminophen exposure as a proof of concept for assessing drug-drug or drug-alcohol interactions. Results: As the ethanol-acetaminophen comparison indicates, bioinformatics tools may be used to understand interactive pathways following exposure to ethanol and acetaminophen, with potential extrapolation to other drug-drug/drug-ethanol interactions. Conclusions: Direct interactive effects were not able to be confirmed through this bioinformatics study due to the lack of existing ethanol-acetaminophen simultaneous exposure data. This work suggests that a battery of software applications should be used to assess interactive effects.


2014 ◽  
Vol 40 ◽  
pp. 191-202 ◽  
Author(s):  
Michal Bajo ◽  
Samuel G. Madamba ◽  
Marisa Roberto ◽  
Yuri A. Blednov ◽  
Vasudeva N. Sagi ◽  
...  

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