Product Images Hair Regen Minoxidil 5% Hair Growth Treatment

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Product Label Images

The following 2 images provide visual information about the product associated with Hair Regen Minoxidil 5% Hair Growth Treatment NDC 83675-035 by Guangzhou Hanhai Trading Co., Ltd, 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.

1 - Label1(1)

1 - Label1(1)

This is a drug information leaflet for Minoxidil 5% topical solution, which is used to regrow hair on the top of the scalp for men with thinning hair. The leaflet contains important warnings, directions for use, and information about potential side effects. It emphasizes that the product is not intended for use by women or individuals with certain types of hair loss. It also provides guidance on the application method, frequency, and duration of use to achieve optimal results. The leaflet advises users to consult a doctor if they experience specific symptoms such as chest pain, rapid heartbeat, or unexplained weight gain. Additionally, it mentions the inactive ingredients in the product and how to properly store it. The text also mentions the distributor and includes details about the package contents.*

2 - Label2(1)(1)(1)

2 - Label2(1)(1)(1)

This text is a product description for a hair regrowth treatment called Minoxidil 5% for men. It contains warnings, directions for use, and inactive ingredients. The treatment is applied topically onto the scalp twice a day and requires continued use for effective results. It is advised not to use if you are a woman, do not have a family history of hair loss, or are under 18 years of age. The product is flammable and should be kept away from fire or flame. If any adverse reactions occur, such as scalp irritation or sudden weight gain, it is recommended to stop use and consult a doctor.*

* 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.