Product Images Indapamide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Indapamide NDC 62559-510 by Ani 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.

Label-125mg - Label 125

Label-125mg - Label 125

Indapamide Tablets USP is a prescription-only medication manufactured by ANI Pharmaceuticals, Inc. It contains 1.25mg of Indapamide USP per tablet. The usual recommended dosage is outlined in the prescribing information that accompanies the product. It is important to store the medication at room temperature and keep the container tightly closed to avoid excessive heat. The product should also be stored in a light-resistant container with a child-resistant closure. The NDC number for this product is 62559-510-01, and it contains 100 tablets per container. Additionally, the product is designed to be kept out of reach of children. The GTIN number for this product is 123456, while the lot number is 0123.*

Label-25mg - Label 25

Label-25mg - Label 25

This is a description for a medication package of Indapamide Tablets USP with NDC 62559-511-01. The medication is available only with a prescription and each container has 10 tablets inside with usual dosage instructions provided. It is recommended to store the medication at a controlled room temperature of 20° to 25°C (68° to 77°F), and keep it tightly closed to avoid exposure to excessive heat. Furthermore, the medication must be kept out of the reach of children, and dispensed in a tight, light-resistant container as defined in the USP using a child-resistant closure. There are additional details provided on the packaging about the manufacturer of the medication.*

ani - ani

ani - ani

structure - structure

structure - structure

* 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.