Product Images Metronidazole

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Metronidazole NDC 16571-665 by Rising Pharma Holdings, 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.

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 250 mg (50 Tablets Bottle) - metronidazole fig1

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 250 mg (50 Tablets Bottle) - metronidazole fig1

This is a medication called Metronidazole in tablet form with each tablet containing 250mg of the medication. The recommended dosage is not provided and must be obtained from accompanying prescribing information. The tablets are manufactured in India and distributed by Rising Pharma Holdings, Inc. The tablets are stored at controlled room temperature and must be protected from light. They are dispensed in tight, light-resistant, and child-resistant containers. The text includes a product code, as well as instructions for printing on the packaging.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 500 mg (50 Tablets Bottle) - metronidazole fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 500 mg (50 Tablets Bottle) - metronidazole fig2

Each tablet of Rising NDC 16571-664-01 contains 500mg of Metronidazole USP. The pharmaceutical product is distributed by Rising Pharma Holdings, Inc. in East Brunswick, NJ 08816. The usual dosage can be found on the accompanying prescription. The product is made in India and the code is TS/DRUGS/22/2000. The tablets should be stored at 20° to 25°C (68° to 77°F) and protected from light in tightly sealed, child-resistant containers (USP). The text contains an "Over printing Zone" and a dot.*

Chemical Structure - metronidazole str

Chemical Structure - metronidazole str

Symbol - metronidazole symbol

Symbol - metronidazole symbol

* 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.