Product Images Retinol Plus Aha Cream

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Retinol Plus Aha Cream NDC 84785-0008 by Gazebo Wellness Skin 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.

Content of labeling 30 ml - Retinol AHA Cream 30 ml

Content of labeling 30 ml - Retinol  AHA Cream  30 ml

This text provides directions for the use of AAHA+Vitamin A Cream for skin care. It suggests starting with once or twice a week application, increasing gradually to every other night, and then daily as tolerated. The cream should be applied to cleansed skin in the evening, with caution around the eyes. To optimize results, wait 30 minutes before applying other products. The cream is formulated with various beneficial ingredients like Vitamin A, Alpha Hydroxy Acid, Multi-Fruit Acid, and organic extracts. The ingredients include aloe juice, shea butter, glycolic acid, retinol, and more. The product is distributed by Skin Beauty Solutions.*

Content of labeling 60 ml - Retinol AHA Cream 60 ml

Content of labeling 60 ml - Retinol  AHA Cream  60 ml

This text provides directions for using an AHA + Vitamin A Cream with a high concentration of 1,700,000 IU/g. The cream is to be applied in the evening on thoroughly cleansed skin, initially once or twice a week, with gradual increase in frequency. It is advised to avoid the eye area and wait 30 minutes before applying other products. The formulation includes organic ingredients such as aloe juice, green tea extract, and various fruit extracts. The product contains Vitamin A, Alpha Hydroxy Acid, and minerals for improving skin texture and appearance. The cream is distributed by Skin Beauty Solutions in Elk Grove, CA.*

* 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.