Product Images Digoxin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Digoxin NDC 0115-9811 by Amneal Pharmaceuticals Of New York 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.

Chemical Structure - digoxin tablets usp 1

Chemical Structure - digoxin tablets usp 1

PRINCIPAL DISPLAY PANEL - 0.125 mg Tablet Bottle Label - digoxin tablets usp 2

PRINCIPAL DISPLAY PANEL - 0.125 mg Tablet Bottle Label - digoxin tablets usp 2

This is a description for Digoxin tablets. Each bottle contains 100 tablets of 0.125 mg each. It is used for oral dosage as indicated in the packaging information. It should be stored in a closed, light-resistant container at a controlled room temperature of 20° to 25°C (88°to 77°F), as required by the USP. The manufacturer is Yung Shin Pharm. Ind Co Ltd in Tachung City, Taiwan, and is manufactured for Amneal Pharmaceuticals LLC in Bridgewater, NJ. It is advised to keep this medication away from children.*

PRINCIPAL DISPLAY PANEL - 0.25 mg Tablet Bottle Label - digoxin tablets usp 3

PRINCIPAL DISPLAY PANEL - 0.25 mg Tablet Bottle Label - digoxin tablets usp 3

This is a description of a medication called Digoxin, which comes in the form of Tablets, USP. The strength is 0.25mg per tablet with a total of 100 tablets per container. It is advised to follow accompanying instructions for the correct dosage. The medication should be stored at room temperature and must not be used if the safety seal under the cap is broken or missing. It also warns to keep this medication and all other medication out of the reach of children. Multiple manufacturers are mentioned: "Yung Shin Pharm. nd Co. L." and "Amaeol Phamceticals LLC". There is also an ID number.*

* 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.