Product Images Soft Services Clearing Mist Breakout Tonic

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Product Label Images

The following image provide visual information about the product associated with Soft Services Clearing Mist Breakout Tonic NDC 82030-010 by A To Z International Corporation, 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.

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82030-010-04.jpg - 82030 010 04

Brand: Soft Services Product name: Clearing Mist Active Ingredient: Salicylic Acid 1% Purpose: Acne Treatment Usage: Clean the skin thoroughly before applying this product. Cover the entire affected area with a thin layer one to three times daily. Reduce application to once a day or every other day if bothersome dryness or peeling occurs. Spray on clean, dry body skin areas prone to breakouts. Do not rub in. Use 3-4 times per week or as breakouts persist, and then use less often to prevent new breakouts from forming. Warnings: Keep out of reach of children. If swallowed, get medical help or contact Poison Control Center right away. When using this product using other topical acne medications at the same time or immediately following use of this, the skin may become too dry. If this occurs, only one medication should be used unless directed by a doctor. Inactive ingredients: Water, Alcohol Denat., Aloe Barbadensis Leaf Juice, Niacinamide, Zinc PCA, Melaleuca Alternifolia (Tea Tree) Leaf Oil, Glycerin, Arctium Lappa Root Extract, Calendula Officinalis (Calendula) Flower Extract, Smilax Aristolochiifolia (Sarsaparilla) Root Extract, Citric Acid. Note: The text includes details about Soft Services' Clearing Mist, a product used to treat acne and prevent breakouts. It contains salicylic acid as the active ingredient and has various inactive ingredients that balance the medicinal and drying effects. The text provides instructions on usage, warnings, and contact information.*

* 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.