Chemical Structure (Chemical Structure)
Mycophenolic Acid Tablet, Delayed Release
Product Images NDC 70436-173
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Mycophenolic Acid (NDC 70436-173). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Slate Run Pharmaceuticals, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
180 mg, 120 Counts (Mycophenolic Acid 180mg 120ct)
Each delayed-release tablet contains 180mg of mycophenolic acid as mycophenolate sodium. The package is child-resistant and should be stored in a tight, light-resistant container protected from moisture at controlled room temperature. This drug is manufactured in Yichang, Hubei, China, and distributed by Slate Run Pharmaceuticals, LLC. Pharmacists should dispense medication with the accompanying guide to each patient. That's all the information available.*
360 mg, 120 Counts (Mycophenolic Acid 360mg 120ct)
NDC 70436-173-23 is a medication used for delayed-release. It comes in the form of tablets containing Mycophenolic Acid, USP equivalent to 360 mg mycophenolic acid. It is advised for the pharmacist to dispense the accompanying medication guide to each patient. It also contains usual dosage guidance, and should be stored between 20 to 25°C. The medication should be protected from moisture and dispensed in a tight, light-resistant container. The package is child-resistant and should be kept out of the reach of children. The medicine is manufactured in China and distributed by Slate Run Pharmaceuticals in Columbus, OH. There is also a coating-free area for Expiration, Lot, and Serialization data.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
