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 70518-2115 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.

MM1 - predniSONE 10mg 70518 2115 00

MM1 - predniSONE 10mg 70518 2115 00

This text contains information about the medication called predniSONE, which is a prescription drug that should be kept out of reach of children. It provides the NDC number, lot number, and expiration date. The medication is manufactured by Mylan in Morgantown, WV. The directions for use are found in the package insert, and the medication should be stored at a temperature between 20-26°C. It has been repackaged by RemedyRepack Inc. in Indiana, PA.*

MM2 - predniSONE 10mg 70518 2115 01

MM2 - predniSONE 10mg 70518 2115 01

This is a medication called predniSONE that requires a prescription. It was made by the manufacturer Mylan in Morgantown, WV with an NDC code of 00378-0641-10. It was repackaged by RemedyRepack Inc in Indiana, PA. The medication should be kept out of reach of children and stored at a temperature of 20-26°C (63-77°F). More information on how to take the medication should be found in the package insert. The lot number and expiration date are not available in the provided text.*

MM3 - predniSONE 10mg 70518 2115 02

MM3 - predniSONE 10mg 70518 2115 02

This text is a description of a medication called predniSONE, which is only available through a prescription. It includes the NDC number, the Lot number, the manufacturer (Mylan), and storage instructions. The directions for use are not available and it was repackaged by RemedyRepack Inc.*

structural formula - prednisone tablets usp 01

structural formula - prednisone tablets usp 01

* 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.