Product Images Hygiene Clean Eucalyptus Hand Sanitizer

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Product Label Images

The following 2 images provide visual information about the product associated with Hygiene Clean Eucalyptus Hand Sanitizer NDC 80499-002 by Usa Broom 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.

Label3 - Label3

Label3 - Label3

This is a hand sanitizer made in the USA with aloe vera, designed to kill 99% of germs. The product comes in an 8 fl oz (237mL) packaging which can fit most car cup holders. The active ingredient of this sanitizer is Benzalkonium Chloride 0.13, and it is recommended for repeated usages. Possible side effects include irritation or redness, and in such cases, it is recommended to contact a doctor. Contains inactive ingredients such as Water, Propylene Glycol, Lauramine Oxide, Undecth-7, Disodium EDTA, among others. The text mentions a website and an address for the making company.*

Label4 - Label4

Label4 - Label4

This is a drug facts label for a hand sanitizer produced by USA Broom, LLC. The active ingredient is Benzalkonium Chloride at a concentration of 0.13%, which is an antimicrobial agent. The sanitizer is recommended for repeated use to decrease bacteria on skin. The label provides directions to pump a small amount of foam into the palm of the hand, rub thoroughly over all surfaces of both hands, and rub hands together briskly until dry. It also lists the inactive ingredients. The label warns to avoid contact with eyes and to seek medical attention if irritation or redness develops or if the condition persists for more than 72 hours. If swallowed, it advises getting medical help or contacting a Poison Control center right away. There are 24 -8 oz. bottles of this sanitizer and each bottle contains 192 oz. (1.50 gal) (5.68 L) of the sanitizer.*

* 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.