Product Images Prednisone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Prednisone NDC 70518-2314 by Remedyrepack Inc., 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.

structural formula for prednisone - image 1

structural formula for prednisone - image 1

predniSONE 20mg 70518 2314 00

predniSONE 20mg 70518 2314 00

This is a medication called prednisone that can only be obtained with a prescription. The packaging includes a National Drug Code (NDC) number and manufacturer information for Actavis based in Morristown, NJ. The package insert provides instructions for use, and the medication should be stored at temperatures between 20-26°C (63-77°F). The packaging also includes information on where it was repackaged by RemedyRepack Inc. in Indiana, PA.*

predniSONE 20mg 70518 2314 01

predniSONE 20mg 70518 2314 01

PredniSONE is a prescription drug manufactured by Actavis. It should be stored between 20-26°C (63-77°F) and kept out of reach of children. The packaging includes directions for use and the drug should be repackaged by RemedyRepack Inc. The NDC number is 70518-2314-01 and expiration date and lot number are not available.*

predniSONE 20mg 70518 2314 02

predniSONE 20mg 70518 2314 02

This appears to be a label for a medication called predniSONE with RX only status. It provides important information such as NDC number, expiration date, lot number, source NDC, and the manufacturer's details. It advises to keep the medication out of the reach of children and provides directions for use, which can be found in the package insert. It also provides information on how to store the medication at a specific temperature range. The medication was repackaged by RemedyRepack Inc. based in Indiana.*

* 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.