Product Images Metoprolol Succinate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Metoprolol Succinate NDC 70882-127 by Cambridge Therapeutics Technologies, Llc, 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.

structure - metoprolol succinate er drl 1

structure - metoprolol succinate er   drl 1

figure - metoprolol succinate er drl 2

figure - metoprolol succinate er   drl 2

Metoprolol Succinate ER Tablets 25 mg - metoprolol succinate er drl 3

Metoprolol Succinate ER Tablets 25 mg - metoprolol succinate er   drl 3

The text is a description of a proof for a drug label packaging, containing dosage instructions, warnings, manufacturer and distributor information. The customer is required to proofread and sign the document before it's released into production. The drug, Metoprolol Succinate Extended-Release Tablets, USP, 25mg, is manufactured by Dr. Reddy's Laboratories Limited, and packaged by Legacy Pharmaceutical Packaging, LLC, with CTT Therapeutic Technologies as the distributor. The label also provides instructions on how to unlock the child-resistant feature and store the tablets.*

Metoprolol Succinate ER Tablets 50 mg - metoprolol succinate er drl 4

Metoprolol Succinate ER Tablets 50 mg - metoprolol succinate er   drl 4

The text contains information on Metoprolol Succinate Extended-Release Tablets USP 50 mg, including the manufacturer information, dosage, and storage instructions. It also includes instructions for opening the child-resistant blister packaging and a warning not to use if the package is broken. The text also mentions a backage insert for full prescribing information, but it is not available in the given text.*

* 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.