Effects of Family History of Alcohol Dependence on the Subjective Response to Alcohol Using the Intravenous Alcohol Clamp

Background Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluat...

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Published inAlcoholism, clinical and experimental research Vol. 37; no. 12; pp. 2011 - 2018
Main Authors Kerfoot, Karin, Pittman, Brian, Ralevski, Elizabeth, Limoncelli, Diana, Koretski, Julia, Newcomb, Jenelle, Arias, Albert J., Petrakis, Ismene L.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.12.2013
Subjects
Online AccessGet full text
ISSN0145-6008
1530-0277
1530-0277
DOI10.1111/acer.12199

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Abstract Background Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluate differences between family history positive (FHP) and family history negative (FHN) individuals in their response to alcohol within the domains of subjective, coordination, and cognitive effects using an intravenous (IV) clamping method of alcohol administration. Methods Two groups of healthy subjects, those with an FHP (n = 65) versus those who were FHN (n = 115), between the ages of 21 to 30, participated in 3 test days. Subjects were scheduled to receive placebo, low‐dose ethanol (EtOH) (target breath alcohol clamping [BrAC] = 40 mg%), and high‐dose EtOH (target BrAC = 100 mg%) on 3 separate test days at least 3 days apart in a randomized order under double‐blind conditions. Outcome measures included subjective effects, measures of coordination, and cognitive function. Results Both low‐ and high‐dose alcohol led to dose‐related stimulant and sedative subjective effects as measured the Biphasic Alcohol Effects Scale and subjective measures of “high” and “drowsy” measured on a visual analog scale. However, there were no effects of FH. Similar dose‐related effects were observed on cognitive and coordination‐related outcomes, but were not moderated FH. Conclusions Results from this study showed that healthy individuals responded to an IV alcohol challenge in a dose‐related manner; however, there were no significant differences on subjective response, or on EtOH‐induced impairment of coordination or cognition, between individuals with a positive FH for alcoholism and those with a negative FH. Results suggest that FH may not be a specific enough marker of risk, particularly in individuals who are beyond the age where alcohol use disorders often develop.
AbstractList Background Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluate differences between family history positive (FHP) and family history negative (FHN) individuals in their response to alcohol within the domains of subjective, coordination, and cognitive effects using an intravenous (IV) clamping method of alcohol administration. Methods Two groups of healthy subjects, those with an FHP (n = 65) versus those who were FHN (n = 115), between the ages of 21 to 30, participated in 3 test days. Subjects were scheduled to receive placebo, low‐dose ethanol (EtOH) (target breath alcohol clamping [BrAC] = 40 mg%), and high‐dose EtOH (target BrAC = 100 mg%) on 3 separate test days at least 3 days apart in a randomized order under double‐blind conditions. Outcome measures included subjective effects, measures of coordination, and cognitive function. Results Both low‐ and high‐dose alcohol led to dose‐related stimulant and sedative subjective effects as measured the Biphasic Alcohol Effects Scale and subjective measures of “high” and “drowsy” measured on a visual analog scale. However, there were no effects of FH. Similar dose‐related effects were observed on cognitive and coordination‐related outcomes, but were not moderated FH. Conclusions Results from this study showed that healthy individuals responded to an IV alcohol challenge in a dose‐related manner; however, there were no significant differences on subjective response, or on EtOH‐induced impairment of coordination or cognition, between individuals with a positive FH for alcoholism and those with a negative FH. Results suggest that FH may not be a specific enough marker of risk, particularly in individuals who are beyond the age where alcohol use disorders often develop.
Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluate differences between family history positive (FHP) and family history negative (FHN) individuals in their response to alcohol within the domains of subjective, coordination, and cognitive effects using an intravenous (IV) clamping method of alcohol administration. Two groups of healthy subjects, those with an FHP (n = 65) versus those who were FHN (n = 115), between the ages of 21 to 30, participated in 3 test days. Subjects were scheduled to receive placebo, low-dose ethanol (EtOH) (target breath alcohol clamping [BrAC] = 40 mg%), and high-dose EtOH (target BrAC = 100 mg%) on 3 separate test days at least 3 days apart in a randomized order under double-blind conditions. Outcome measures included subjective effects, measures of coordination, and cognitive function. Both low- and high-dose alcohol led to dose-related stimulant and sedative subjective effects as measured the Biphasic Alcohol Effects Scale and subjective measures of "high" and "drowsy" measured on a visual analog scale. However, there were no effects of FH. Similar dose-related effects were observed on cognitive and coordination-related outcomes, but were not moderated FH. Results from this study showed that healthy individuals responded to an IV alcohol challenge in a dose-related manner; however, there were no significant differences on subjective response, or on EtOH-induced impairment of coordination or cognition, between individuals with a positive FH for alcoholism and those with a negative FH. Results suggest that FH may not be a specific enough marker of risk, particularly in individuals who are beyond the age where alcohol use disorders often develop.
Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluate differences between family history positive (FHP) and family history negative (FHN) individuals in their response to alcohol within the domains of subjective, coordination, and cognitive effects using an intravenous (IV) clamping method of alcohol administration.BACKGROUNDAlcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective response to alcohol may be determined familialy and related to the risk of developing alcoholism. The aim of this study was to evaluate differences between family history positive (FHP) and family history negative (FHN) individuals in their response to alcohol within the domains of subjective, coordination, and cognitive effects using an intravenous (IV) clamping method of alcohol administration.Two groups of healthy subjects, those with an FHP (n = 65) versus those who were FHN (n = 115), between the ages of 21 to 30, participated in 3 test days. Subjects were scheduled to receive placebo, low-dose ethanol (EtOH) (target breath alcohol clamping [BrAC] = 40 mg%), and high-dose EtOH (target BrAC = 100 mg%) on 3 separate test days at least 3 days apart in a randomized order under double-blind conditions. Outcome measures included subjective effects, measures of coordination, and cognitive function.METHODSTwo groups of healthy subjects, those with an FHP (n = 65) versus those who were FHN (n = 115), between the ages of 21 to 30, participated in 3 test days. Subjects were scheduled to receive placebo, low-dose ethanol (EtOH) (target breath alcohol clamping [BrAC] = 40 mg%), and high-dose EtOH (target BrAC = 100 mg%) on 3 separate test days at least 3 days apart in a randomized order under double-blind conditions. Outcome measures included subjective effects, measures of coordination, and cognitive function.Both low- and high-dose alcohol led to dose-related stimulant and sedative subjective effects as measured the Biphasic Alcohol Effects Scale and subjective measures of "high" and "drowsy" measured on a visual analog scale. However, there were no effects of FH. Similar dose-related effects were observed on cognitive and coordination-related outcomes, but were not moderated FH.RESULTSBoth low- and high-dose alcohol led to dose-related stimulant and sedative subjective effects as measured the Biphasic Alcohol Effects Scale and subjective measures of "high" and "drowsy" measured on a visual analog scale. However, there were no effects of FH. Similar dose-related effects were observed on cognitive and coordination-related outcomes, but were not moderated FH.Results from this study showed that healthy individuals responded to an IV alcohol challenge in a dose-related manner; however, there were no significant differences on subjective response, or on EtOH-induced impairment of coordination or cognition, between individuals with a positive FH for alcoholism and those with a negative FH. Results suggest that FH may not be a specific enough marker of risk, particularly in individuals who are beyond the age where alcohol use disorders often develop.CONCLUSIONSResults from this study showed that healthy individuals responded to an IV alcohol challenge in a dose-related manner; however, there were no significant differences on subjective response, or on EtOH-induced impairment of coordination or cognition, between individuals with a positive FH for alcoholism and those with a negative FH. Results suggest that FH may not be a specific enough marker of risk, particularly in individuals who are beyond the age where alcohol use disorders often develop.
Author Pittman, Brian
Limoncelli, Diana
Kerfoot, Karin
Newcomb, Jenelle
Arias, Albert J.
Ralevski, Elizabeth
Koretski, Julia
Petrakis, Ismene L.
AuthorAffiliation 1 NIAAA Center for the Translational Neuroscience of Alcoholism and Department of Psychiatry, Yale University School of Medicine New Haven, CT
2 Department of Veterans Affairs, Alcohol Research Center VA Connecticut Healthcare System (116-A) 950 Campbell Ave West Haven, CT 06516
3 University of Western Ontario Department of Psychiatry London, Ontario, Canada
AuthorAffiliation_xml – name: 3 University of Western Ontario Department of Psychiatry London, Ontario, Canada
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– name: 2 Department of Veterans Affairs, Alcohol Research Center VA Connecticut Healthcare System (116-A) 950 Campbell Ave West Haven, CT 06516
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Issue 12
Keywords IV Alcohol
Alcohol Dependence
Alcohol Clamp
Healthy Subjects
Family History
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Subramanian M, Heil S, Kruger M, Collins K, Buck P, Zawacki T, Abbey A, Sokol R, Diamond M (2002) A three-stage alcohol clamp procedure in human subjects. Alcohol Clin Exp Res 26:1479-1483.
Goodwin DW, Schulsinger F, Hermansen L, Guze SB, Winokur G (1973) Alcohol problems in adoptees raised apart from alcoholic biological parents. Arch Gen Psychiatry 28:238-243.
Ramchandani VA, O'Connor S (2006) Studying alcohol elimination using the alcohol clamp method. Alcohol Res Health 29:286-290.
Schuckit MA (1980) Self-rating of alcohol intoxication by young men with and without family histories of alcoholism. J Stud Alcohol 41:242-249.
Perrino AC Jr, Ralevski E, Acampora G, Edgecombe J, Limoncelli D, Petrakis IL (2008) Ethanol and pain sensitivity: effects in healthy subjects using an acute pain paradigm. Alcohol Clin Exp Res 32:952-958.
Schuckit MA, Morrison CR, Gold EO (1984) A pragmatic alcoholism treatment outcome scale. Am J Drug Alcohol Abuse 10:125-131.
Schuckit MA, Smith TL (1996) An 8-year follow-up of 450 sons of alcoholic and control subjects. Arch Gen Psychiatry 53:202-210.
Dickerson D, Pittman B, Ralevski E, Perrino A, Limoncelli D, Edgecombe J, Acampora G, Krystal JH, Petrakis I (2010) Ethanol-like effects of thiopental and ketamine in healthy humans. J Psychopharmacol 24:203-211.
Morean ME, Corbin WR (2010) Subjective response to alcohol: a critical review of the literature. Alcohol Clin Exp Res 34:385-395.
Schuckit MA (1994) Low level of response to alcohol as a predictor of future alcoholism. Am J Psychiatry 151:184-189.
Schuckit MA, Edenberg HJ, Kalmijn J, Flury L, Smith TL, Reich T, Bierut L, Goate A, Foroud T (2001) A genome-wide search for genes that relate to a low level of response to alcohol. Alcohol Clin Exp Res 25:323-329.
Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189-198.
Rice JP, Reich T, Bucholz KK, Neuman RJ, Fishman R, Rochberg N, Hesselbrock VM, Nurnberger JI Jr, Schuckit MA, Begleiter H (1995) Comparison of direct interview and family history diagnoses of alcohol dependence. Alcohol Clin Exp Res 19:1018-1023.
Evans SM, Levin FR (2003) Response to alcohol in females with a paternal history of alcoholism. Psychopharmacology 169:10-20.
King AC, de Wit H, McNamara PJ, Cao D (2011) Rewarding, stimulant, and sedative alcohol responses and relationship to future binge drinking. Arch Gen Psychiatry 68:389-399.
Newlin DB, Thomson JB (1990) Alcohol challenge with sons of alcoholics: a critical review and analysis. Psychol Bull 108:383-402.
Schuckit MA, Smith TL, Kalmijn J, Danko GP (2005) A cross-generational comparison of alcohol challenges at about age 20 in 40 father-offspring pairs. Alcohol Clin Exp Res 29:1921-1927.
Blekher T, Ramchandani VA, Flury L, Foroud T, Kareken D, Yee RD, Li T-K, O'Connor S (2002) Saccadic eye movements are associated with a family history of alcoholism at baseline and after exposure to alcohol. Alcohol Clin Exp Res 26:1568-1573.
Martin CS, Earleywine M, Musty RE, Perrine MW, Swift RM (1993) Development and validation of the Biphasic Alcohol Effects Scale. Alcohol Clin Exp Res 93:8-15.
Uhart M, Weerts EM, McCaul ME, Guo X, Yan X, Kranzler HR, Li N, Wand GS (2013) GABRA2 markers moderate the subjective effects of alcohol. Addict Biol 18:357-369.
Ruff RM, Parker SB (1993) Gender- and age-specific changes in motor speed and eye-hand coordination in adults: normative values for the Finger Tapping and Grooved Pegboard Tests. Percept Mot Skills 76(3 Pt 2):1219-1230.
de Wit H, McCracken SG (1990) Ethanol self-administration in males with and without an alcoholic first-degree relative. Alcohol Clin Exp Res 14:63-70.
Cotton NS (1979) The familial incidence of alcoholism: a review. J Stud Alcohol 40:89-116.
Davidson D, Camara P, Swift R (1997) Behavioral effects and pharmacokinetics of low-dose intravenous alcohol in humans. Alcohol Clin Exp Res 21:1294-1299.
Gilman JM, Smith AR, Ramchandani VA, Momenan R, Hommer DW (2011) The effect of intravenous alcohol on the neural correlates of risky decision making in healthy social drinkers. Addict Biol 17:465-478.
Petrakis IL, Yang BZ, Krystal JH, Edens E, Koretski J, Limoncelli D, Gelernter J (2011) Role of Gaba-related genes in mediating subjective response to Iv ethanol in healthy subjects. Alcohol Clin Exp Res 35:131a.
Cloninger CR, Bohman M, Sigvardsson S (1981) Inheritance of alcohol abuse. Cross-fostering analysis of adopted men. Arch Gen Psychiatry 38:861-868.
2010; 34
1990; 108
1990; 14
1997; 21
1980; 41
1997; 41
1994; 151
1975; 12
1999; 23
2008; 32
2011; 35
1995; 19
2002
1992; 16
2011; 17
2001; 25
2005; 29
1996; 53
1991; 5
2012; 71
2013; 18
2002; 26
2010; 24
2002; 63
1993; 93
2000; 35
1984; 10
1993; 76
1973; 28
1981; 38
2006; 29
2003; 28
2011; 68
2003; 169
1979; 40
Subramanian (10.1111/acer.12199-BIB0036|acer12199-cit-0036) 2002; 26
Ramchandani (10.1111/acer.12199-BIB0024|acer12199-cit-0024) 2002; 63
Dickerson (10.1111/acer.12199-BIB0008|acer12199-cit-0008) 2010; 24
Evans (10.1111/acer.12199-BIB0010|acer12199-cit-0010) 2003; 169
Rice (10.1111/acer.12199-BIB0039|acer12199-cit-0039) 1995; 19
10.1111/acer.12199-BIB0003|acer12199-cit-0003
Schuckit (10.1111/acer.12199-BIB0029|acer12199-cit-0029) 1980; 41
Newlin (10.1111/acer.12199-BIB0021|acer12199-cit-0021) 1990; 108
Davidson (10.1111/acer.12199-BIB0006|acer12199-cit-0006) 1997; 21
Schuckit (10.1111/acer.12199-BIB0031|acer12199-cit-0031) 2001; 25
Martin (10.1111/acer.12199-BIB0018|acer12199-cit-0018) 1993; 93
Petrakis (10.1111/acer.12199-BIB0023|acer12199-cit-0023) 2011; 35
Schuckit (10.1111/acer.12199-BIB0033|acer12199-cit-0033) 1996; 53
Erblich (10.1111/acer.12199-BIB0009|acer12199-cit-0009) 2003; 28
Folstein (10.1111/acer.12199-BIB0011|acer12199-cit-0011) 1975; 12
Goodwin (10.1111/acer.12199-BIB0014|acer12199-cit-0014) 1973; 28
Schuckit (10.1111/acer.12199-BIB0034|acer12199-cit-0034) 2005; 29
Wit (10.1111/acer.12199-BIB0038|acer12199-cit-0038) 1990; 14
Schuckit (10.1111/acer.12199-BIB0035|acer12199-cit-0035) 2000; 35
King (10.1111/acer.12199-BIB0016|acer12199-cit-0016) 2002; 26
Perrino (10.1111/acer.12199-BIB0022|acer12199-cit-0022) 2008; 32
Uhart (10.1111/acer.12199-BIB0037|acer12199-cit-0037) 2013; 18
Brandt (10.1111/acer.12199-BIB0002|acer12199-cit-0002) 1991; 5
Cotton (10.1111/acer.12199-BIB0005|acer12199-cit-0005) 1979; 40
Dawson (10.1111/acer.12199-BIB0007|acer12199-cit-0007) 1992; 16
Ramchandani (10.1111/acer.12199-BIB0025|acer12199-cit-0025) 2006; 29
Morean (10.1111/acer.12199-BIB0019|acer12199-cit-0019) 2010; 34
Ruff (10.1111/acer.12199-BIB0028|acer12199-cit-0028) 1993; 76
Gilman (10.1111/acer.12199-BIB0012|acer12199-cit-0012) 2011; 17
Krystal (10.1111/acer.12199-BIB0017|acer12199-cit-0017) 1997; 41
Blekher (10.1111/acer.12199-BIB0001|acer12199-cit-0001) 2002; 26
Roh (10.1111/acer.12199-BIB0027|acer12199-cit-0027) 2011; 35
Gomez (10.1111/acer.12199-BIB0013|acer12199-cit-0013) 2012; 71
King (10.1111/acer.12199-BIB0015|acer12199-cit-0015) 2011; 68
Ramchandani (10.1111/acer.12199-BIB0026|acer12199-cit-0026) 1999; 23
Cloninger (10.1111/acer.12199-BIB0004|acer12199-cit-0004) 1981; 38
Schuckit (10.1111/acer.12199-BIB0032|acer12199-cit-0032) 1984; 10
Morzorati (10.1111/acer.12199-BIB0020|acer12199-cit-0020) 2002; 26
Schuckit (10.1111/acer.12199-BIB0030|acer12199-cit-0030) 1994; 151
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Snippet Background Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The...
Alcohol use disorders are well recognized to be common, debilitating, and the risk of developing them is influenced by family history (FH). The subjective...
SourceID pubmedcentral
proquest
pubmed
crossref
wiley
istex
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2011
SubjectTerms Adult
Alcohol Clamp
Alcohol Dependence
Alcoholism - genetics
Cognition - drug effects
Dose-Response Relationship, Drug
Double-Blind Method
Ethanol - administration & dosage
Ethanol - blood
Family History
Female
Healthy Subjects
Humans
IV Alcohol
Male
Placebos
Psychomotor Performance - drug effects
Reaction Time - drug effects
Young Adult
Title Effects of Family History of Alcohol Dependence on the Subjective Response to Alcohol Using the Intravenous Alcohol Clamp
URI https://api.istex.fr/ark:/67375/WNG-PMBGVVQ7-K/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Facer.12199
https://www.ncbi.nlm.nih.gov/pubmed/23895557
https://www.proquest.com/docview/1465175862
https://pubmed.ncbi.nlm.nih.gov/PMC3971638
Volume 37
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