Product Images Meloxicam

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Meloxicam NDC 16571-776 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 - 7.5 mg (100 Tablet Bottle) - meloxicam fig1

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 7.5 mg (100 Tablet Bottle) - meloxicam fig1

Meloxicam Tablets, USP with 7.5 mg strength are distributed by Rising Pharma Holdings, Inc. Each package contains 100 tablets and must be accompanied by a medication guide. The usual dosage should be determined by referring to the package insert. It should be stored at 20 to 25°C (68 to 77°F) in a dry place and out of the reach of children. The collection code and issuing date are TS/DRUGS/19/1993 and 03/2021, respectively. The text includes a warning not to print within the dotted lines of the coding area.*

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 15 mg (100 Tablet Bottle) - meloxicam fig2

PACKAGE LABEL-PRINCIPAL DISPLAY PANEL - 15 mg (100 Tablet Bottle) - meloxicam fig2

Meloxicam Tablets USP, with 15mg of meloxicam in each tablet, are a medication that must be accompanied by a medication guide. The dispenser should keep this and all medications away from children, dispense it in a tight container, and store it in a dry place with protection from moisture. For dosage and administration, refer to the package insert. The medication is distributed by Rising Pharma Holdings, Inc., from East Brunswick, NJ, and made in India. The code stamp is TS/DRUGS/19/1993, and the issue date is 03/2021. The remaining text consists of codes and does not contain useful information.*

Chemical Structure - meloxicam str

Chemical Structure - meloxicam str

* 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.