Product Images Calendula

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Product Label Images

The following 2 images provide visual information about the product associated with Calendula NDC 0220-1108 by Laboratoires Boiron, 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.

label - Calendula Gel 2.6 oz ETU.1F8S 09.2019

label - Calendula Gel 2.6 oz ETU.1F8S 09.2019

Boiron Calendula Gel is a natural homeopathic medicine that is made with Calendula officinalis, a garden marigold that is known for its soothing and cooling properties. It can quickly relieve skin irritations such as rashes and razor burn, as well as repair damaged skin. Boiron promises to use plant-based relief with no fragrances, parabens, or artificial fertilizers. It is suitable for all ages and skin types. However, it is essential to consult a doctor before use, especially for children. The drug facts on the package list the active and inactive ingredients, as well as warnings. Please visit BoironUSA.com/promise for more details on Boiron's promise.*

label - cal gel 2.6

label - cal gel 2.6

Calendula Gel is a homeopathic medicine that is quickly absorbed by the skin and non-greasy with a cooling effect. It is used to help with skin irritations, razor burn, and insect bites. Calendula officinalis (garden marigold) has been used topically for generations to naturally heal skin irritations. The gel is ideal for relieving razor burn and insect bites or stings. The drug facts are listed on the package, and the Boiran family has committed to providing safe, natural medicines for total satisfaction. The disclaimer warns users of the product to avoid contact with eyes and to consult their doctor if skin irritation persists or worsens. The directions indicate cleansing the affected area with soap and water before applying the gel up to three times a day or as necessary.*

* 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.