Diclofenac Sodium And Misoprostol Tablet, Delayed Release
Product Images NDC 0591-0397

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Diclofenac Sodium And Misoprostol (NDC 0591-0397). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Actavis Pharma, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

Image 1

Image 1
This is a description of Diclofenac Sodium and Misoprostol Delayed-Release Tablets, which are prescription drugs containing 50 mg diclofenac sodium and 0.2 mg misoprostol. Each package has 60 tablets and must be dispensed with an accompanying Medication Guide. The tablets should be stored in a light-resistant container between 20-25°C, and dosage and use instructions can be found in the prescribing information. These tablets are manufactured by Teva Pharmaceuticals USA, Inc. However, it is contraindicated for pregnant women, as it can cause miscarriage or serious complications. The text also includes the drug's National Drug Code and serialization coding area.*
FDA Label Image

Image 2

Image 2
This is a description of Diclofenac Sodium and Misoprostol Delayed-Release Tablets. It includes information on the dosing, storage, and contraindications for the medication. The medication includes diclofenac sodium and misoprostol and is intended for prescription use only. The medication can be dispensed in a tight, light-resistant container and comes with an accompanying medication guide. The medication is contraindicated for use in pregnant women as it can cause complications such as miscarriage. The lot and expiration dates are also listed. There is a serialization coding area included.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.