Product Images Igalmi
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Product Label Images
The following 15 images provide visual information about the product associated with Igalmi NDC 81092-1180 by Bioxcel Therapeutics, Inc., 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.
This text presents the change in PEC score from baseline for three groups (placebo, IGALMI 120 mcg, IGALMI 180 mcg) over time post-dose in minutes. The PEC score is related to the Positive and Negative Syndrome Scale - Excited Component. Standard error values are also given. The baseline PEC scores were 17.6, 17.5, and 17.6 for the placebo, IGALMI 120 mcg, and IGALMI 180 mcg groups, respectively.*
This is a description of a study or experiment that measured the change in PEC score from baseline in three groups of participants (placebo, IGALMI 120 mcg, and IGALMI 180 mcg), over time post dose (in minutes). The PEC score is a measure of the Positive and Negative Syndrome Scale - Excited Component. The baseline PEC scores for each group are also provided.*
This is a description of a sublingual film medication called "Igalm" from BioXcel Therapeutics Inc. It is a dexmedetomidine drug and is manufactured in the USA. It comes in 10 pouches, and each pouch contains one film. The administration method for the medication is sublingual or buccal, and the film should not be chewed or swallowed. The medication details include Lot NNNNNNN, EXP YYYY-NMH-DD, and GTIN XXXXXXXXXXXXXX, and 125738 SN XXXXXXXX. The rest of the text is not related to the medication description.*
This is a medication for sublingual or buccal use named IGALMI (dexmedetomidine) and it comes in 10 pouches where each pouch contains a film. The medication must not be chewed or swallowed and should be kept in the pouch until administration. The available NDC number is 8109211801.*
* 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.