Product Images Methylprednisolone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Methylprednisolone NDC 59746-001 by Jubilant Cadista Pharmaceuticals 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.

Blister Pack - 59746 001 03 carton

Blister Pack - 59746 001 03 carton

This is a description of prescription medicine called MethylPREDNISolone. The text includes a National Drug Code (NDC) 59746-001-03 and the quantity of tablets (21) in one unit of use. The medication is available in 2mg and 4mg tablets. However, due to the presence of unrecognizable text, it is not possible to provide a complete description.*

Label - 59746 001 06

Label - 59746 001 06

This is a medication label for a package of Prednisolone tablets, used for treating a variety of medical conditions. The tablets come in a container of 100 and each tablet has a strength of 4mg. It also indicates that the medication is controlled and requires a prescription. The brand name is not mentioned but the code NDG 5974600106 is available.*

Label - 59746 002 04

Label - 59746 002 04

Label - 59746 003 14

Label - 59746 003 14

Label - 59746 015 04

Label - 59746 015 04

Blister Pack - MethylPrenisolone inner blister

Blister Pack - MethylPrenisolone inner blister

Dosage directions for Methylprednisolone Tablets, USP 4 mg. The tablets are in a unit of use containing 21 tablets and are available only on a prescription. To remove the tablet from the packaging, press from the side specified. Take one tablet before breakfast and at bedtime for a specific number of days. The remaining directions are not available.*

Image - methylprednisolon 02

Image - methylprednisolon 02

* 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.