Product Images Reyvow
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Reyvow NDC 0002-4491 by Eli Lilly And Company, 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.
reyvow 100mg 8ct 042 01
The text is a product description of a medication called REYVOW (lasmiditan) in tablet form, with each tablet containing 100mg of lasmiditan. It is a prescription-only medication, and the website REYVOW.com is mentioned for further details. However, the last line of text is not legible.*
reyvow 50mg 8ct 040 01
REYVOW is a medication available only with a prescription that comes in the form of tablets containing 50 mg of lasmiditan. For more information, visit the website www.REYVOW.com. The product is manufactured by VANV. The text contains some errors.*
Figure 1 - reyvow uspi 1 v1
This appears to be a graph showing the percentage of people achieving migraine pain freedom over time after taking different doses of a medication called REYVOW, as well as a placebo. The doses shown are 50mg, 100mg, and 200mg. The graph shows that a higher percentage of people achieved migraine pain freedom with REYVOW compared to the placebo, with the 200mg dose appearing to be the most effective. The time frame shown on the graph ranges from 0 to 2 hours after taking the medication.*
Figure 2 - reyvow uspi 2 v1
The text appears to be a chart displaying the percentage of individuals achieving "MBS freedom" at various time points after taking different doses of a drug called "REYVOW" or a placebo. The drug is available in 50mg, 100mg, and 200mg doses. However, the meaning of "MBS freedom" and any additional information about the drug or study are not available.*
Structural Formula - reyvow uspi chem v1
* 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.
