Product Images Widaplik
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Widaplik NDC 24338-001 by Azurity 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.
Widaplik LD - widaplik ld
This text provides information about a medication called Widaplik, which is a combination tablet containing telmisartan, amlodipine, and indapamide in specific dosages. The recommended dosage instructions, storage conditions, and manufacturer details are also included. It is important to swallow the tablets whole and keep them out of reach of children, protected from moisture and light. The manufacturer is Aurity Pharmaceuticals, Inc. and the tablets are manufactured by Piramal Pharma Limited in India.*
Widaplik SD - widaplik sd
This text provides detailed information about Widaplik⢠tablets, which contain a combination of telmisartan, amlodipine, and indapamide in specified dosages. It includes instructions on how to take the tablets, dosage recommendations, manufacturer details, storage instructions, and precautions. It is essential to keep the tablets out of reach of children, protect them from moisture and light, store them at a specific temperature range, and only dispense them from the original container. The text also includes identifiers such as the GTIN, serial number (S/N), expiration date (EXP), and lot number.*
Widaplik ULD - widaplik uld
This text provides information about a medication containing 10 mg of telmisartan, 1.25 mg of amlodipine, and 0.625 mg of indapamide. It includes details on recommended dosage, storage instructions, manufacturer information, and precautions. The tablets are to be swallowed whole and should not be cut, crushed, or chewed. The package contains only 30 tablets.*
* 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.