Product Images Tork Foam Antibacterial

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Product Label Images

The following 2 images provide visual information about the product associated with Tork Foam Antibacterial NDC 49351-104 by Essity Professional Hygiene North America Llc, 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.

Tork 104 02 50mL

Tork 104 02 50mL

This is a drug facts sheet for TORK Antibacterial Foam Soap with an active ingredient of Benzalkonium Chloride, 0.13%. It is manufactured in Mexico and distributed by Essif Professional Hygiene North America LLC. It is used for decreasing bacteria on the skin with a recommended repeated use. The inactive ingredients are Water/Eau/Aqua, Coco-glucoside, Laurtrimonium Chloride, Cocamidopropylamine Oxide, Citric Acid. The product is only for external use and should not be ingested. It includes directions, warnings, and contact information for questions or comments. The page also notes that the soap is a Nonfood Compounds Program Listed E2 and is not for sale.*

Tork Label2

Tork Label2

This is a drug label for a foam soap that contains the active ingredient Benzalkonium Chioride (antibacterial). It is recommended for hand washing to decrease bacteria on the skin and is only for external use. The soap comes in a 52 oz bottle. Inactive ingredients include water, Coco-glucoside, Laurtrimonium Ghibride, Gocamidopropylarmine Oxide, Gitric Acid. The user should dispense enough for both hands, rub for 30 seconds, and rinse with water for 30 seconds. If irritation or redness occurs, the user should stop using the product. The label includes warnings to avoid contact with eyes, to keep the product out of reach of children, to seek medical attention if swallowed, and to call the Poison Control Center immediately if accidentally ingested. Questions or comments can be directed to the number listed.*

* 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.