Product Images Fresh Runy Antiseptic Wet Wipes

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Product Label Images

The following 3 images provide visual information about the product associated with Fresh Runy Antiseptic Wet Wipes NDC 78850-104 by Fulya Kozmetik Islak Mendil Imalat Ve Pazarlama Limited Sirketi, 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.

untitled - 78850 104 1

untitled - 78850 104 1

ANTISEPTIC WET WIPES - This package contains 72 or 120 wipes that measure 5x7.1 inches. The product has NDC number 78850-10402 and is designed for sanitizing purposes.*

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untitled - 78850 104 2

This text provides drug facts for hand wipes containing Benzalkonium chloride 0.13% as an antiseptic agent to decrease bacteria on the skin. These wipes are recommended for repeated use and can be used when soap and water are not available. The product comes with a set of warnings and directions to follow, including keeping the wipes out of reach of children, not using them on open skin wounds or children under the age of two months, and disposing of the wipe after use. The inactive ingredients in the product include benzoic acid, citric acid, fragrance, glycerin, and water. The text also includes information on how to use the antibacterial wet wipes and details to be considered while using and storing the product. Lastly, the text provides instructions for product disposal and discusses the first aid measures to follow in case of irritation, contact with eyes or ingestion.*

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untitled - Image

The text describes details about antibacterial wet wipes, including net quantity, size, weight, and quantity of solution absorbed in each tissue. It also mentions the weight of the solution absorbed in the cloth and the quantity of the active substance absorbed in each tissue. The wipes come in a pack of 72 or 120 and contain an active antibacterial substance.*

* 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.