Product Images Bioelements Active Astringent

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Product Label Images

The following 2 images provide visual information about the product associated with Bioelements Active Astringent NDC 49825-111 by Bioelements, 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.

image of back carton - back

image of back carton - back

The Active Astringent is a salicylic acid formula used to control excess oil, hydrate and cool skin, and unclog pores. This power-packed astringent features skin clarifying ingredients and prepares the skin for Bioelements PorePlex or AcnePlex treatment gel. The product is fragrance-free and made in the USA. The inactive ingredients include water, witch hazel extract, grapefruit fruit extract, honey extract, and lavender oil. The astringent is designed for external use only and should be kept out of reach of children. Contact a doctor or poison control center immediately if swallowed. The product is made by BIOELEMENTS, a professional skin care company, and has been used by leading estheticians in professional facials since 1991.*

image of front label - front

image of front label - front

This is a description for a Bioelements Acne Clearing System Active Astringent solution. The solution contains Salicylic Acid 0.5% as the active ingredient. It is recommended to cleanse the skin before application by wiping over the skin with a cotton pad, while avoiding sensitive areas. The solution is intended for external use only, and the use of other topical acne medication simultaneously or immediately following application of this product may increase dryness or irritation, unless directed by a doctor. The user is advised to apply sunscreen when using this and other acne products and keep it away from the reach of children. In case of ingestion, medical attention should be sought immediately.*

* 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.