Product Images Mycophenolic Acid
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Mycophenolic Acid NDC 59651-622 by Aurobindo Pharma Limited, 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.
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 180 mg (120 Tablets Bottle) - mycophenolic fig1
This is an evaluation of a medication in the form of delayed-release tablets containing Mycophenolate sodium USP. Each tablet provides 180 mg of mycophenolic acid. The medication guide should be dispensed separately to each patient. The dosage instructions can be found in the package insert. It is advised to store the tablets at a temperature ranging from 20° to 25°C (68° to 77°F) with some permitted excursions. Protection from moisture is recommended, and the tablets should be kept in a tight container. The product is distributed by Aurobindo Pharma USA, Inc. and manufactured in India. Remember to keep all drugs, including this medication, out of the reach of children.*
PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 360 mg (120 Tablets Bottle) - mycophenolic fig2
This description provides information about a medication called Mycophenolate sodium USP in the form of film-coated delayed-release tablets. Each tablet contains an equivalent of 360 mg of mycophenolic acid. The product is made in India and distributed by Aurobindo Pharma USA, Inc. The recommended storage conditions are between 20°C to 25°C (68°F to 77°F), with excursions permitted between 15°C to 30°C (59°F to 86°F). It advises protecting the tablets from moisture and storing them in a tight container. Additionally, it mentions the importance of dispensing the medication guide provided with the drug, ensuring it is kept out of reach of children.*
Chemical Structure - mycophenolic str
* 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.