Product Images Harmon Daily Moisturzier
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Product Label Images
The following 3 images provide visual information about the product associated with Harmon Daily Moisturzier NDC 63940-074 by Harmon Stores, 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.
Daily Moisturizing Lotion is a non-greasy formula that penetrates quickly and doesn't clog pores. With natural oatmeal and rich moisturizers, it hydrates and helps prevent scaling and chapping caused by dry skin. Fragrance-free and containing dimethicone 1.3%, it temporarily protects dry, chafed, cracked, and windburned skin. It is recommended to avoid contact with eyes and eyelids and to consult a doctor in case of worsening conditions. Apply it when skin feels dry or irritated. The product is manufactured and distributed by Liberty Procurement Co. and not by Johnson & Johnson Corporation.*
This is a description of a moisturizing lotion that can be compared to Aveeno Active Naturals Daily Moisturizing Lotion. It contains Dimethicone Skin Protectant and natural soothing oatmeal to relieve and protect dry skin. It moisturizes for 24 hours, is fragrance-free, and was dermatologist tested. The product comes in an 18 oz (532 mL) bottle.*
The Daily Moisturizing Lotion is a non-greasy formula blended with natural moisturizers that soothe dry skin. It contains natural oatmeal that hydrates the skin and helps prevent and protect against chapping and scaling. The lotion can be used to prevent and temporarily protect against chafed, chapped or cracked skin and the drying effects of wind and cold weather. The lotion is fragrance-free and won't clog pores. It contains Dimethicone Skin Protectant as an active ingredient and other ingredients such as glycerin and cetyl alcohol. This product is distributed by Liberty Procurement cp Inc. and satisfaction is guaranteed.*
* 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.