Product Images Xesso Rear Comfort Glide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Xesso Rear Comfort Glide NDC 81777-104 by Premium Natural Cosmetics Inc, 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.

Inactives - Inactive Ingredients

Inactives - Inactive Ingredients

This is a list of inactive ingredients of an unknown product that includes Carboxymethylcellulose Sodium, Diazolidinyl urea, Glycerin, Isopentyldiol, Methylparaben, Propylparaben, and Water. It is not possible to determine the purpose or type of product without further context.*

warning - Warning

warning - Warning

This text provides warnings and precautions for using a product. It cautions against using the product with a mechanical device, mentions the risk of allergic reactions, warns against exceeding the recommended dosage or applying the product on cracked or broken skin. It also instructs to discontinue use if symptoms persist or worsen and to consult a doctor in case of bleeding.*

Label Proof - Xesso Rear Comfort Lube 2percent Lidocaine

Label Proof - Xesso Rear Comfort Lube 2percent Lidocaine

Trim Line is a lidocaine-based product that enhances comfort during usage. It has a smooth, silky glide and is easy to clean. The product is to be used externally only and not with any mechanical device. It contains 2% lidocaine as the active ingredient. The product is lightweight, non-staining, and may be used up to six times a day. The drug has certain inactive ingredients, and users should consult a health care professional before usage. The product is made by Premium Natural Cosmetics in a facility located in the USA. The XESSO(R) label is a registered trademark of Premium Natural Cosmetics.*

* 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.