Product Images Biosilk Health Plus Beauty

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Product Label Images

The following image provide visual information about the product associated with Biosilk Health Plus Beauty NDC 73740-9090 by Farouk Systems, 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.

BSHBHBM5 BSHB Hair n Body Mist 5.64oz Label - BSHBHBM5 BSHB Hair n Body Mist 5.64oz Label

BSHBHBM5 BSHB Hair n Body Mist 5.64oz Label - BSHBHBM5 BSHB Hair n Body Mist 5.64oz Label

This is a description of an antibacterial hair and body mist that comes in a 5.64 FL OZ bottle (167 mL). It contains Aloe Vera, Lavender, and Silk which kill 99.9% of germs. It is paraben-free and made in the USA. The mist is registered by the FDA and the registration code is NDC 73740-9090-5. It comes with instructions to shake the bottle well before applying to hair and body for moisture and germ protection. The product is flammable, and one should keep it away from any fire or flames. The hair and body mist should only be used externally, and it should be avoided getting into eyes. In the case of any contact with the eyes, one should rinse them thoroughly with water. The product should be kept out of reach of children and should be swallowed; one should get medical assistance or contact a Poison Control Center right away. The ingredients of this hair and body mist are Alcohol Denat., Cyclopentasiloxane, 'C15-19 Alkane, Propylene Glycol Dibenzoate, Aloe Barbadensis Leaf Juice, Hydrolyzed Silk, Lavandula Angustifolia (Lavender) Oil, Aqua/Water/Eau, Fragrance (Parfum), Benzyl Benzoate, Butylphenyl Methylpropional, Coumarin, Linalool, Ext. Violet 2 (C160730), Red 33 (Cl 17200). The hair and body mist are manufactured by Farouk Systems, Inc., Houston, Texas 77090, USA, and their website is BIOSILK.COM.*

* 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.