Product Images Folli Plus

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Product Label Images

The following 2 images provide visual information about the product associated with Folli Plus NDC 69825-002 by Adven Biotech Private Limited, 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.

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This is a description of a homeopathic product that comes in the form of tablets. The tablets are intended for thick and healthy fair hair. Active ingredients include Acidum Fluoricum, Acidum Phosphoricum, Natrum Muriaticum, Calcarea Phosphorica, and Badiaga. The product is used to fight hair loss, dandruff, and premature graying of hair, and to promote healthy hair growth. Adults are advised to take 4 tablets every 6 hours, while children should take 2 tablets. The package contains 1000 tablets, and the net weight is 100gm. The product should be protected from moisture, direct sunlight, and heat. The package provides the contact email for any questions. The inactive ingredients include sugar of milk. The label recommends that a physician be consulted if symptoms persist or worsen, and the product should be kept out of reach of children.*

Folli Plus Tablets Label - FolliPlusTablets

Folli Plus Tablets Label - FolliPlusTablets

This is a description of a homeopathic remedy in tablet form, containing 1000 tablets with 100mg each for preventing hair loss, promoting hair growth, removing dandruff, and scalp infection. The formula contains several active ingredients such as Acidum Fluoricum, Acidum Phosphoricum, Natrum Muriaticum, Calcarea Phosphorica and Badiaga. It also includes instructions for usage and dosage for adults and children, warnings, and details about the composition of the product. The product is not evaluated by the FDA, and it is distributed by a company based in India, but it is made for export only.*

* 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.