Product Images Weight Control Support

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Product Label Images

The following 2 images provide visual information about the product associated with Weight Control Support NDC 60512-0016 by Homeolab Usa 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.

Inner Label - Inner Label

Inner Label - Inner Label

This product is a homeopathic medication manufactured for Homeolab USA, Inc. The medication claims to increase metabolism, control bloating, improve digestion and help with weight control with active ingredients including Thyroidinum 9X, Rhamnus 3X, Fucus vesiculosus 2X, and Kali iodatum 6X. The medication comes in pellet form with 80 pellets in each container. The product's efficacy is based on traditional homeopathic theories, and there are no valid studies using current scientific methods showing the product's efficacy. It is advised not to use the medication if the cap seal is broken and to keep it out of reach of children. If you are pregnant, nursing a baby, or experiencing persisting symptoms, consult a health professional before using the product. To use, allow 3-4 pellets to dissolve in the mouth three times a day. This medication contains lactose and saccharose and is a product of Canada.*

NDC 60512-0016-1 - NDC 60512 0016 1

NDC 60512-0016-1 - NDC 60512 0016 1

This is a homeopathic medicine named "Medicated" that claims to improve digestion, control bloating, and increase metabolism. The active ingredients are listed, which include thyroid and sea wick. The medicine comes in the form of pellets, and adults are instructed to take them three times a day. The medicine is not for use by children. The product of Canada is not supported by scientific evidence, and it is advised to contact a health professional if symptoms persist or worsen. The rest of the text is difficult to read because of errors.*

* 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.