Product Images Batana And Batana

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Product Label Images

The following 2 images provide visual information about the product associated with Batana And Batana NDC 83872-430 by Shenzhen Xiaomai Manufacturing 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.

LBEAL - 4

LBEAL - 4

This product is a Hair Growth Serum & Scalp Care made with ingredients such as Elaeis Oleifera Kernel Oil, Coconut Oil, Jojoba Seed Oil, Shea Butter, and Rosemary Leaf Oil. It aims to nourish hair, promote growth, and soothe the scalp. It is important to avoid using on damaged or broken skin and to rinse with water if it gets into the eyes. Additionally, the product should be kept out of reach of children and not used for children under 3 years old. It is manufactured by Shenzhen XiaoMai Manufacturing Co., Ltd. in China and has an expiry date of 24 months if sealed and unopened, and 12 months after opening.*

LBEAL - 44

LBEAL - 44

This is a detailed description of a hair care product, Batana Oil, containing ingredients like Elaes Oleifera Kernel Oil, Coconut Oil, Jojoba Seed Oil, Shea Butter, Rosemary Leaf Oil, and Tocopheryl Acetate. The oil is designed to nourish and strengthen hair, promote hair growth, and repair damaged hair. The warnings include avoiding use on damaged or broken skin, keeping the product out of eyes, seeking medical help if a rash occurs, and keeping it away from children. The product should not be used on children under 3 years old. The oil is rich in vitamins and is advised to be kept away from direct sunlight. The country of origin is China, and the manufacturer is Shenzhen XiaoMai Manufacturing Co., Ltd., with an address provided. The batch number is mentioned along with the expiry date instructions before 24 months if sealed/unopened and best before 12 months after opening.*

* 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.