Product Images Smart Care Hand Sanitizer

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Product Label Images

The following 2 images provide visual information about the product associated with Smart Care Hand Sanitizer NDC 70108-055 by Ashtel Studios, 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.

Ash551 - Santzrnw1

Ash551 - Santzrnw1

This is a hand sanitizer that can kill up to 99.99% of common germs. It contains ethyl alcohol (62% v/v) and other inactive ingredients such as water, glycerin, and carbomer. It also has Aloe Vera and Vitamin E. The product is flammable and should be kept away from fire or flame. It is for external use only and should not be ingested. If swallowed by children, medical help should be sought immediately. The sanitizer should be kept out of reach of infants. To use, a thumbnail size amount is enough, and it should be rubbed on the hands briskly until dry. The sanitizer may discolor some fabrics and is harmful to wood finishes and plastics. The product is designed in the USA and made in China.*

Ash552 - Santzrnw2

Ash552 - Santzrnw2

This is a drug facts label that describes a hand sanitizer containing 62% Ethy Aol. The product is flammable and should be kept away from fire or flames. It is designed to help reduce bacteria and germs on the skin, and is for external use only. If contact with eyes occurs, it should be flushed thoroughly with water. The product should not be inhaled or ingested and should be kept out of reach of children. The inactive ingredients include water, propyl alcohol, glycerin, and Aloe Barbadensis Leaf Juice among others. It is not recommended for infants. The product should be kept below 100°F and may discolor some fabrics. The label also gives information on contact numbers for medical help and control centers. The product is distributed by AshTel Studios Inc in Ontario, California.*

* 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.