Product Images Diclofenac Sodium Misoprostol

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Product Label Images

The following 2 images provide visual information about the product associated with Diclofenac Sodium Misoprostol NDC 75834-265 by Nivagen 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.

PRINCIPAL DISPLAY PANEL - 50 mg Bottle Label - diclofenac 01

PRINCIPAL DISPLAY PANEL - 50 mg Bottle Label - diclofenac 01

NDC 75834-264-60 is a medication composed of Diclofenac Sodium and Misoprostol. These delayed-release tablets are available in a container that is child-resistant, and a medication guide is provided separately. It is advised not to consume this medicine if you are pregnant, and to avoid becoming pregnant while taking it as it can lead to miscarriage or other severe medical issues. It should be stored in a dry place at 20° to 25°C (68° to 77°F). To know more about the dosage and usage, refer to the prescribing information. This medication is made by Nivagen Pharmaceuticals, has a toll-free number, and is manufactured in Taiwan.*

PRINCIPAL DISPLAY PANEL - 75 mg Bottle Label - diclofenac 02

PRINCIPAL DISPLAY PANEL - 75 mg Bottle Label - diclofenac 02

Each tablet of this medication contains a combination of 75mg diclofenac sodium and 200mcg misoprostol, which is used to relieve pain and inflammation in the body. It is important to note that pregnant women should not take this medication as it can lead to miscarriage or other serious complications. The medication should be stored in a dry area at a temperature of between 20° to 25°C (68° to 77°F). This medication should be dispensed in a child-resistant container along with the accompanying prescribing information and Medication Guide. The medication is manufactured by Nivagen Pharmaceuticals, Inc. and is only available with a doctor's prescription.*

* 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.