Product Images Trandolapril

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Trandolapril NDC 42806-053 by Epic Pharma, 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.

Structural Formula - Trandolapril - image 01

Structural Formula - Trandolapril - image 01

trandolapril 1mg 100s

trandolapril 1mg 100s

This text consists of dosage instructions for Trandolapril tablets, which contain 1mg of Trandolapril, manufactured by Epic Pharma LLC. The instructions indicate the importance of keeping the medication tightly closed and out of reach of children. The recommended dosage is not available, as it refers to another document.*

trandolapril 2mg 100s

trandolapril 2mg 100s

Trandolapril Tablets USP are a prescription medication that comes in a bottle containing 100 tablets of 2mg each. The usual dosage should be checked in the provided Harature for complete prescribing information. It is recommended to store these tablets between 20°-25°C (66°-77°F) and dispense in a container as per USP standards. The packaging has the company name, Epic Pharma, LLC (TSR AREIE), NDC code 42806-053-01 and a cautionary message to not accept if the bottle opening is broken or missing. The medication should be kept tightly closed and out of the reach of children.*

trandolapril 4mg 100s

trandolapril 4mg 100s

This text provides dosage directions and storage guidelines for Trandolapril, USP 4mg tablets, manufactured by Epic Pharma LLC. It instructs to store the tablets at controlled room temperature and to dispense them in a container that meets certain USP requirements. It also warns not to use the medication if the seal is broken. The text includes relevant identification numbers and a revision date.*

* 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.