Product Images Feel Good Labs Sport Recovery

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Product Label Images

The following 2 images provide visual information about the product associated with Feel Good Labs Sport Recovery NDC 70554-261 by The Feel Good Lab, 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.

Label3 - Label3

Label3 - Label3

This is a description of a pain relieving lotion for athletes called FeelGood. It is formulated to provide temporary relief from minor muscle and joint pain, strains, sprains, bruises, and backaches. The active ingredient in the lotion is Menthol which makes up 1.25% of the formula. It should be applied externally and only to healthy skin. Users of the lotion should avoid contact with eyes and not apply it to wounds or damaged skin. It is suitable for adults and children over two years old, but if pregnant or breastfeeding, they should consult their physician before use. FeelGood contains several natural ingredients such as yarrow extract, aloe vera gel, coconut oil, curcuma, MSM, and yucca extract, among others. It is supplied in a 100ml (3.4 fl. Oz) bottle and stored at room temperature.*

Label4 - Label4

Label4 - Label4

This is a Drug Fact sheet of some medication containing several natural ingredients that help in providing relief for minor aches and strains. It is for external use only and should not be applied on wounds or damaged skin. The lotion should not be used in case of symptoms persisting beyond 7 days without consulting a physician. Children under 2 years of age should consult a physician before using. There are several natural ingredients besides the active ingredient, including Yerba Mate, Devil's Claw, and Aloe Vera. The lotion is formulated for athletes, comes in a 1-day packet with up to 4 uses and can be used for temporary relief.*

* 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.