Product Images Hyzaar

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Hyzaar NDC 78206-139 by Organon 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 of Losartan Potassium - hyzaar 01

Chemical Structure of Losartan Potassium - hyzaar 01

Chemical Structure of Hydrochlorothiazide - hyzaar 02

Chemical Structure of Hydrochlorothiazide - hyzaar 02

PRINCIPAL DISPLAY PANEL - 50 mg/12.5 mg Tablet Bottle Label - hyzaar 03

PRINCIPAL DISPLAY PANEL - 50 mg/12.5 mg Tablet Bottle Label - hyzaar 03

PRINCIPAL DISPLAY PANEL - 100 mg/12.5 mg Tablet Bottle Label - hyzaar 04

PRINCIPAL DISPLAY PANEL - 100 mg/12.5 mg Tablet Bottle Label - hyzaar 04

Hyzaar is a prescription drug comprising of 100 mg losartan potassium and 12.5 mg hydrochlorothiazide in each tablet. Organon LLC, a subsidiary of ORGANON & Co., produced it in Jersey City, NJ, and Organon Pharma in the UK. The tablets should be stored at 25°C (77°F) with excursions allowed between 15-30°C (59-86°F), protected from light, and kept tightly sealed. The usual dosage is specified and the drug should only be taken as per prescription. The provided barcode, serial number, expiry date, and lot number are reserved for 2D serialization.*

PRINCIPAL DISPLAY PANEL - 100 mg/25 mg Tablet Bottle Label - hyzaar 05

PRINCIPAL DISPLAY PANEL - 100 mg/25 mg Tablet Bottle Label - hyzaar 05

Hyzaar is a prescription medication that contains 100 mg of losartan potassium and 25 mg of hydrochlorothiazide, used to treat hypertension. Each bottle contains 30 tablets. The drug must be stored at room temperature, kept tightly closed and protected from light. Please consult your doctor for the appropriate dosage.*

* 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.