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  5. Product Images: Hydrochlorothiazide

Product Images Hydrochlorothiazide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Hydrochlorothiazide NDC 67296-2043 by Redpharm Drug, 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.

Hydrochlorothiazide - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 01

Hydrochlorothiazide - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 01

This appears to be a chemical formula for a compound with the molecular formula C7HsCIN:OsS and a molecular weight of 297.74. The text preceding the formula is not readable and does not provide any context for the compound.*

Company Logo - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 02

Company Logo - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 02

Container Label - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 03

Container Label - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 03

Each tablet contains Hydrochlorothiazide as defined in the USP. The tablets come in a child-resistant package. They are stored at a temperature of 20° to 25°C (68° 10 77°F). The usual dosage is 100 tablets per the package insert. The tablets are manufactured by UNICHEM LABORATORIES LTD which is located in Goa, India. The manufacturer, UNICHEM PHARMACEUTICALS (USA), INC. is located in East Brunswick, NJ 08816.*

Container Label - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 04

Container Label - 04e2c83b 4c31 41f8 bc75 f82ef1b30d07 04

Each tablet contains Hydrochlorothiazide as defined in the USP, and is child-resistant. The tablets are manufactured by Unichem Laboratories Ltd. and are manufactured for Unichem Pharmaceuticals (USA), Inc. The NDC number for this medication is 29300-129-01. The medication comes in a 100 tablet pack and is made in Goa, India. The label indicates that the medication should be stored in a controlled room.*

* 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.