Product Images Multaq
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Multaq NDC 0024-4142 by Sanofi-aventis U.s. Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
This text appears to be displaying a list of interacting drugs and their corresponding recommendations for use together. Some drugs are contraindicated while others require no dose adjustments. There is mention of antibiotics such as ketoconazole, erythromycin, and rifampin, as well as calcium channel blockers like diltiazem, verapamil, and nifedigine. Statins like simvastatin and atorvastatin are also mentioned. Additionally, there is a warning to avoid concomitant use with grapefruit juice. However, the last line of text is not readable.*
This is a list of medications and their recommended interactions. The medication names include statins, digitalis, beta blockers, calcium channel blockers, antithrombotic agents, Losartan, Metformin, Ethinyl estradiol, Levonorgestrel, Omeprazole, and Theophylline. The information includes recommended dose adjustments for certain drugs when taken together and/or monitoring of certain parameters. There are also some measurements shown for Cmax and AUC.*
Characteristic N RR [95%CT] for different parameters such as age, Structural Heart Disease, NYHA class, LVEF(%), EBeta blocking agents, ACE inhibitors or ARBs are given. The values for some parameters are not available. The comparison of DronedaroneBetter and Placebo Better is also provided.*
This is a medication package containing 60 tablets of 400mg each. The brand name of the medication is "Multag" which is produced by Sanofi. However, the information is not complete and therefore insufficient to provide further details.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.