Product Images Izun Periactive Mouthwash

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Product Label Images

The following 2 images provide visual information about the product associated with Izun Periactive Mouthwash NDC 49589-112 by Izun Pharmaceuticals Corporation, 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.

label - Pages from PeriActive FDA registration (includes label) Page 1

label - Pages from PeriActive FDA registration (includes label) Page 1

PeriACTIVE is an oral rinse designed to help reduce inflammation, kill bacteria, and protect against gum bleeding and soreness, plaque, and gingivitis. The solution contains active ingredients and comes in a safety-sealed bottle for protection. The solution is meant to be used as a part of advanced gum care and is available in a 500 mL bottle.*

image - Pages from PeriActive FDA registration (includes label) Page 2

image - Pages from PeriActive FDA registration (includes label) Page 2

PERIACTIVE is an oral rinse that helps protect against gingivitis, reduce gum inflammation, promote gingival healing, and reduce plaque formation, bleeding, and soreness. It contains Sambucus nigra, Echinacea purpurea, and Hydrocotyle asiatica, which are all known as irritation/gingivitis reducers and gum repair stimulators. It is important to not use the product if allergic to any of its ingredients or if gingivitis, bleeding, or redness persists for over two weeks. Adults and children 12 years and older should rinse for 60 seconds twice a day while children between 6-12 should use 10mL twice a day, supervised by an adult. Children under six should not use it, and it is important to avoid eating, drinking, or rinsing the mouth for 30 minutes after use. The product should also be stored at room temperature and kept out of direct sunlight. The rinse is not intended to replace brushing or flossing.*

* 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.