Product Images Himmy Pet Bathwipe

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Product Label Images

The following 2 images provide visual information about the product associated with Himmy Pet Bathwipe NDC 77267-011 by Ningbo�riway�industrial�co.,�ltd., 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.

H-PW_lavender-lg - H PW lavender lg 2022.12.5 01

H-PW_lavender-lg - H PW lavender lg 2022.12.5 01

Himmy is a product that provides deep-cleaning bath wipes for pets. These wipes help in reducing time spent on washing pets, allowing more time for snuggling. Himmy's giant wipes contain antiseptic ingredients such as Benzalkonium Chloride (0.10%) for pet cleaning. In addition to this, the product also contains Inactive Ingredients for pet cleaning such as EDTA, Propylene Glycol, Sodium Hypochlorite, Nitch Hazel Extract, and Lavender fragrance. The product comes in a pack and has directions for use on the package. The wipes should be discarded after single use. The product should be stored at room temperature, and kept out of reach of children, to avoid accidental ingestion.*

H-PW_lavender-xl - H PW lavender xl 2022.12.5 01

H-PW_lavender-xl - H PW lavender xl 2022.12.5 01

The text contains information about a pet cleaning product called "Himmy" which comes in a 3-pack of lavender-scented bath wipes with anti-allergenic hypo-itching flea removal properties. It is a pet cleaning product intended for wiping pets without rinsing with a bath, and it contains an antiseptic named Benzalkanium:Chionide. The instructions suggest discarding the wipes after a single use, not flushing them down the toilet, and keeping them away from sunlight at room temperature between 20°-25°Celsius. However, there is no available information about what the product looks like, its texture, and what type of pets it is intended for.*

* 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.