Product Images Leafpro Cbdmed Oil Fs Qp 20%

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Product Label Images

The following 2 images provide visual information about the product associated with Leafpro Cbdmed Oil Fs Qp 20% NDC 73674-005 by Leafmed Gmbh, 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.

Principal display panel - Label 10ml - leafPro CBDmed Oil FS QP 20 Etikett 30x72 US

Principal display panel - Label 10ml - leafPro CBDmed Oil FS QP 20 Etikett 30x72 US

leafPharma Inc. distributes an oral use only CBD oil for pain-relieving, anti-inflammatory, soothing, and relaxing effects. The carton provides directions on usage and should be read before using. The product is available in a 10ml/0.34fl oz container with a 20% CBD concentration. The NDC number is 73674-005-01.*

Principal display panel - carton 10ml - leafPro CBDmed Oil FS QP 20 FS 28x28x95 US

Principal display panel - carton 10ml - leafPro CBDmed Oil FS QP 20 FS 28x28x95 US

The text appears to be a medication label for a product called LeafPro CBDmed Oil, which contains cannabidiol (CBD) and is intended for pain relief, anti-inflammatory and soothing effects. It is a full-spectrum hemp extract combined with MCT coconut oil and silicon dioxide, and is free of alcohol, sugar, dyes, lactose, and gluten. The recommended dose for adults and children over 12 is 4-3 drops under the tongue, not to exceed 400mg of CBD per day. The product is packaged in 10ml/0.34 fl oz bottles and stored between 15-25°C, with instructions to avoid moisture and direct sunlight. Possible side effects and contraindications are listed, including allergies, depression, neural disease, and sensitivity to medication. The label includes contact information for the manufacturer, Leafpharma Inc., and further recommended use for a sustained benefit.*

* 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.