An evidence-based, Latin-American consensus ongastro-oesophageal reflux diseaseHenry Cohena, Joaquim Prado P. Moraes-Filhob, Maria Luisa Cafferatac,Giselle Tomassoc, Graciela Salisd, Oscar Gonza´leze, Jorge Valenzuelaf,Prateek Sharmag, Peter Malfertheinerh, David Armstrongi, Lars Lundellj,Rodolfo Cortik, Paulo Sakaib, Ivan Ceconellob and the Latin-AmericanGORD Consensus Group*
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Drug and Alcohol Dependence 112 (2010) 239–246 Contents lists available at ScienceDirect Drug and Alcohol Dependence Effect of the threat of a disulﬁram–ethanol reaction on cue reactivityin alcoholics夽,夽夽 Marilyn D. Skinner a,b,c,d,∗, Mathieu Coudert b,e, Ivan Berlin b,e, Elodie Passeri b,g,Laurent Michel a,b,c,d, Henri-Jean Aubin b,c,d,f a Centre Hospitalier Emile Roux, Centre de Traitement des Addictions, Limeil-Brévannes, Franceb Assistance Publique-Hôpitaux de Paris, Paris, Francec Inserm U669, Paris, Franced Université Paris-Sud and Université Paris Descartes, UMR-S0669, Paris, Francee Centre Hospitalier Universitaire Pitié-Salpêtrière, Paris, Francef Centre Hospitalier Universitaire Paul Brousse, Villejuif, Franceg Hôpital Mondor, Créteil, France Rationale: Little is known about the effect of disulﬁram on subjective and autonomic nervous system cue Received 23 January 2010 reactivity in the laboratory. The dissuasive psychological effect manifested as a threat would seem to Received in revised form 28 June 2010 prevail over the pharmacological effect.
Accepted 28 June 2010 Objectives: The primary objective was to determine whether there was a difference in cue reactivity Available online 13 August 2010 responses during a threat condition compared to a neutral condition during alcohol cue exposure.
Methods: In a crossover randomized study, participants received threat and neutral messages during two cue exposure sessions. The threat condition consisted of leading the patients to believe they had ingested 500 mg of disulﬁram and the neutral condition of informing them that they had ingested a placebo, while in both condition they received the same placebo.
Results: Physiological cue reactivity was demonstrated by a decrease in diastolic blood pressure during Alcohol dependence the threat compared to the neutral condition (p = 0.04). Heart rate and subjective cue reactivity measuresremained unchanged. There was a negative affect (assessed by the Positive and Negative Affect Scale) bycondition by exposure interaction.
Conclusions: The threat of a disulﬁram–ethanol reaction appears to affect cue reactivity physiologicallyrather than subjectively. While the data does not show changes in subjective ratings, it is possible thatthere are alternative beneﬁcial effects arising from other cognitive processes that are not captivatedby self-reported craving scales, reﬂected by decreases in negative affect and blood pressure. From thisperspective, disulﬁram might be recast to be more acceptable to patients.
2010 Elsevier Ireland Ltd. All rights reserved.
and Berridge, 2008), but it nonetheless affects behavior that maylead to relapse. One method to reinforce abstinence has been to One of the major challenges in addiction treatment is how to increase aversion to alcohol. Disulﬁram appears to help increase prevent relapse when a patient desiring abstinence is thrown off the duration of abstinence in patients who observe their treatment balance by a reaction to alcohol or an alcohol related stimulus schedule (Chick et al., 1992; Fuller and Gordis, 2004; Diehl et al., (Skinner and Aubin, 2010). This phenomenon may or may not be 2010; Mutschler et al., 2010). Furthermore, there is some evidence identiﬁed as "craving" as it may occur without awareness (Robinson that disulﬁram decreases craving (De Sousa, 2004, 2005; Petrakiset al., 2005; De Sousa et al., 2008), but its mechanism of action oncraving is unclear.
Three studies evaluated subjective craving in order to com- Additional materials are available with the online version of this article at pare the effectiveness of disulﬁram to acamprosate (De Sousa, 夽夽 Trial Registry Name: ClinicalTrials.gov identiﬁer NCT00372749 on September 2005), naltrexone (De Sousa, 2004), and topiramate (De Sousa et al., 2008). Disulﬁram was found to reduce craving in alcoholics ∗ Corresponding author at: Centre de Traitement des Addictions, Centre Hospi- post-treatment as measured by the OCDS (Obsessive Compulsive talier Emile Roux, 1 avenue de Verdun, 94456 Limeil-Brévannes, France.
Drinking Scale) (Anton et al., 1995), but not to the same extent as Tel.: +33 1 45 95 84 09; fax: +33 1 45 95 83 90.
E-mail address: email@example.com (M.D. Skinner).
the other medications. Disulﬁram was found superior, however, in 0376-8716/$ – see front matter 2010 Elsevier Ireland Ltd. All rights reserved.
doi:10.1016/j.drugalcdep.2010.06.011 Author's personal copy
M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 reducing the number of drinking days. This may have been due would interact with negative affect and cue reactivity. Demonstrat- to the strong psychological effect of the prohibition of drinking ing differences could impact the way physicians present disulﬁram on craving but also due to the association between disulﬁram and to potential patients.
reduced anxiety as Petrakis et al. (2005) have shown. On the other We hypothesized that cue reactivity to alcohol would be affected hand, it is still not clear if other cognitive or physiological processes as follows: (1) the threat of a disulﬁram–ethanol reaction would were responsible for the superiority of disulﬁram.
reduce the subjective desire to drink, and (2) heart rate and blood In a large, randomized trial with alcohol dependent patients pressure would be higher in the neutral condition than in the threat with a comorbid DSM-IV, Axis 1 psychiatric disorder, the effective- condition because of the increased risk of consuming in the neutral ness of four different treatment conditions was compared over a 12-week period: a placebo alone, disulﬁram + (blinded) naltrexone, Secondary exploratory hypotheses were: (1) subjective craving naltrexone alone, and disulﬁram + (blinded) placebo (Petrakis et al., and physiological responses would not be correlated, (2) desire and 2005). The medication-alone groups had fewer drinking days com- aversion would vary independently in both threat and neutral con- pared to the placebo group; the combination treatment, however, ditions, (3) compared to the less dependent participants, the more did not have superior results in reduced drinking days or craving dependent would have higher craving as well as higher heart rate than either medication alone. Interestingly, the disulﬁram patients and blood pressure, and (4) negative affect would be associated reported less craving based on the OCDS and fewer anxiety-like with craving in both threat and neutral conditions.
symptoms than the naltrexone patients. Both groups also had sim-ilar compliance rates, probably because they were highly motivated 2. Methods
(Petrakis et al., 2005).
2.1. Participants In another study, disulﬁram was shown superior to acamprosate and naltrexone in reducing drinking and probably craving because Participants were recruited from inpatients in a French detoxiﬁcation program patients were told to target use of the medications to craving sit- at Emile Roux Hospital, Limeil-Brévannes between November 2006 and September2008. Inclusion criteria were: (a) age 18 or older; (b) current diagnosis of alcohol uations during the unsupervised phase of the study (Laaksonen et dependence according to DSM-IV criteria (American Psychiatric Association, 1994); al., 2008). No physiological measures were taken, raising questions (c) abstinence goal of at least 6 months post-treatment; (d) intellectual, social, or as to how disulﬁram functions.
educational level sufﬁcient to respond to the questionnaires; (e) no prior use of The present study was conducted to address some of the gaps disulﬁram; (f) no contraindication to disulﬁram; (g) no use of antidepressants or in knowledge about the effect of a threat of a disulﬁram–ethanol neuroleptics during the past 6 days; (h) no treatment by naltrexone, acamprosate,beta-blockers, or clonidine during the past 7 days; (i) no use of benzodiazepines reaction vs. a neutral condition on subjective and autonomic ner- during the past 3 days except diazepam, maximum 30 mg per day, (j) no change vous system (hereafter referred to as physiological) cue reactivity.
in treatment that could affect the desire to drink between the two cue exposure The study used a placebo in both experimental conditions in order sessions, (k) no hearing impairment, and (l) no anosmia or rhinitis. Participants to avoid confounding the pharmacological effect of disulﬁram were not allowed to consume any alcohol during enrollment in the study. If drinkingoccurred, a delay of 6 days of abstinence was required before resuming participation.
with the psychological effect of the threat. We evaluated subjec-tive and physiological cue reactivity in relation to the threat of a 2.2. Design and procedure We also tested possible associations between subjective and The study was a crossover design, initially inspired by the cue reactivity assess- physiological measures. Findings are contradictory with some stud- ment developed by Monti and colleagues (Monti et al., 1987, 1993b; Rohsenow etal., 2000) and modiﬁed for the study objectives. Each participant was seen three ies showing associations (Ludwig and Wikler, 1974; Ludwig et al., times. An inclusion visit occurred six or more days after consuming the last drink.
1977; Stormark et al., 1995), while others showed dissociations, During this visit, the procedures and objectives of the experiment were explained suggesting that during physiological cue reactivity (e.g., salivation) and written informed consent obtained; the experimenter collected socio demo- patients may not be aware of their urges (Monti et al., 1993a; graphic data, administered the Mini International Psychiatric Interview (Sheehan et Rohsenow and Monti, 1999; Reid et al., 2006). The independence of al., 1998) for alcohol dependence, and collected data on alcohol consumption overthe past 6 months. Once written informed consent was obtained, participants com- the two dimensions could inﬂuence how cue reactivity is evaluated pleted the Alcohol Dependence Scale (ADS) (Skinner and Allen, 1982). The alcoholic and interpreted.
drink that would most likely provoke a craving was selected by the participant who Craving and aversion were evaluated on separate scales to also described how it should be served. Patient identity was protected as per French further understand their relationship to each other. Little evi- law on biomedical research by unlinking the data ﬁle for analysis from all identiﬁers.
All procedures received institutional review board approval by the French board for dence exists for their independence with alcohol dependent protection of participants in biomedical research (CPP—Comité de protection des patients contrary to other substance users where independence personnes, Hôpital Pitié-Salpêtrière, Paris, France).
was demonstrated (Avants et al., 1995; Breiner et al., 1997; McEvoy The two experimental beverage trials took place over the next 2 weeks (see et al., 2004; Stritzke et al., 2004). This question is important for Fig. 1). Each was associated with a neutral or threat message regarding the contents future cue reactivity studies because if found independent, the two of a placebo which was swallowed by the participants. The ﬁrst trial occurred from 1to 7 days after the inclusion visit and the second after a wash out period of 4–8 days.
dimensions would best be evaluated on separate scales to avoid the To counterbalance the message order, participants were randomized by blocks of 6 underreporting of the approach dimension. This is particularly rel- into two groups. On the ﬁrst beverage trial, half of the patients received a neutral evant for patients who are ambivalent, that is both high in approach message in French: This morning you have taken a tablet without any effect on a possible and avoidance inclinations.
consumption of alcohol. If you had a drink, the alcohol would have the usual effect. Onthe second beverage trial, the same group received a threat message: This morning Also evaluated were measures of levels of dependence and you have taken a tablet that would rapidly provoke a strong, unpleasant reaction if positive and negative affect as possible modulators of responses.
you consumed any alcohol – nausea, vomiting, an intense feeling of heat, very rapid Physiological cue reactivity measures seem to be related to levels heartbeat. But this tablet will have no effect if you do not consume any alcohol. The of alcohol dependence (Kaplan et al., 1985; McCusker and Brown, remaining half received the same messages but in the reverse order.
1991; Monti et al., 1993a), while the relationship of desire to drink Each message was accompanied by the ingestion of a tablet at 8:10 a.m. for each beverage trial. In both the threat and neutral conditions, the participants received and dependence levels is inconsistent (Kaplan et al., 1985; Dolinsky an identical placebo. The aim was to test only the psychological threat and not the et al., 1987; Corty et al., 1988; Zilberman et al., 2003). Regarding pharmacological effect of disulﬁram.
affect, studies have shown that negative affect has been associ- Each participant reported to the assessment room at 1:30 p.m. on the experi- ated with craving (McCusker and Brown, 1991; Rohsenow et al., mental day. The experimenter explained and demonstrated the procedure (∼30 mn),but afterwards remained hidden from view behind a one-way mirror during most 1992; Baker et al., 2004; Fox et al., 2007). This study extends of the experiment. Talking was not allowed. Participants sat at a table adjacent to the research into another domain by asking how the threat of the mirror. The materials needed during the beverage trials were behind the mirror: a disulﬁram–ethanol reaction compared to a no threat condition the Colin monitor model no. BX-10Ma (used to evaluate blood pressure and heart
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M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 Fig. 1. Cue exposure procedure.
rate), the alcoholic beverage and its commercial container, drinking related items, This analysis was performed using a Mann–Whitney test comparing differences in bottled mineral water, glasses, tray, opaque cover, and a CD player. All instructions change scores (alcohol minus water exposure scores) of craving now between both were recorded and played step by step. The Colin monitor blood pressure cuff was randomisation order groups. A correlation of 0.7 between 2 craving measures of attached to the participant's non-dominant arm during the entire session, but only the same subject during the same visit was assumed. Moreover, measures from the turned on during the three relaxation periods and two beverage trials.
literature (Monti et al., 1993b) of mean ± SD craving scores of water exposure fol- The steps involved in each beverage trial were: a 3 min relaxation period, a 3 min lowed by alcohol exposure were 2.7 ± 2.8 and 5.6 ± 3.3, respectively. Thus, baseline water exposure, a time for completing the questionnaires, a 3 min relaxation period, change scores of craving between alcohol and water exposure were estimated at a 3 min alcohol exposure, a time for completing the questionnaires, and a 3 min 2.9 ± 2.4. We also hypothesized that with the threat of an aversive reaction, change relaxation period with debrieﬁng after the ﬁnal trial. The experimenter ﬁlled the score would be reduced by half, being equal to 1.45, with the same standard devia- glass half full with either water or alcohol in front of the patient and then remained tion of 2.4, and that the correlation between 2 change scores of craving in the same behind the one-way mirror for the remainder of the session. Participants were sig- subject would be 0.5. Consequently, the differences in change scores were expected nalled to smell the drinks by 13 pairs of recorded high and low tones per 3 min to be −1.45 ± 2.4 for the off-on (neutral-threat) sequence group and 1.45 ± 2.4 for trial. The interval between the pairs was varied to prevent temporal conditioning.
the on-off (threat-neutral) sequence group. With alpha risk of 0.05 and beta risk Instructions were given to hold the drink from 2 to 5 cm from the mouth and to of 0.2, 28 patients were necessary for a non-parametric test. In order to take into not drink the contents. The questionnaires referred to the desire for alcohol, even account losses during the study, 38 patients were included.
during the water trial. As a reminder, the message given the morning of the trial wasrepeated immediately before each alcohol trial. At the end of the session, the partic- 2.4.2. Data analysis. The effects of alcohol exposure, threat, period, and interactions ipant remained with the experimenter until there was no further desire for alcohol.
on cue reactivity measures were analyzed using multivariate linear modelling. The At the end of the ﬁnal session, the experimenter asked the participants about how triple interaction alcohol-threat-period was tested as well as the carryover effect.
they perceived the experiment, possible coping strategies, and the experiment's There was no signiﬁcant alcohol by threat by period interaction and at a 10% signiﬁ- effect on their conﬁdence level. At the conclusion of the experiment, participants cance level, no carryover effect was found; the analyses were pursued to determine were informed by letter of the results of the study and that they had received a the effects of the threat and alcohol exposure on cue reactivity. The crossover design placebo in both conditions.
allowed each parameter estimate derived from the model to be analyzed using theMann-Whitney test which was used to compare both randomisation order groups 2.3. Cue reactivity measures (neutral followed by threat condition and threat followed by neutral condition). Atest of carryover effect was thus performed by calculating the sums of the change 2.3.1. Arterial blood pressure and heart rate. The Colin monitor, set to continuous scores (alcohol exposure scores minus water exposure scores) for each participant mode, collected and calculated mean heart rate and arterial blood pressure every and then comparing the two randomisation order groups. The comparison of dif- 30 s during relaxation periods and during beverage trials. The results were stocked ferences between second and ﬁrst cue exposure visits for the change scores in each in the Colin's microprocessor and printed based on each 15 s sampling period.
measure allowed for an analysis of the threat by alcohol exposure interaction. Like-wise, the comparison of differences between second and ﬁrst cue exposure visits 2.3.2. Subjective measures. Immediately after each beverage trial, the participant of the sum of water and alcohol exposure scores for each variable allowed for ﬁlled out questionnaires consisting of ﬁve visual analogue scales of 100 mm long: an analysis of the threat effect. Computational details are given in Supplementary (1) How much do you want a drink right now? (craving now) (2) How much does material available online and were based on the theory of non-parametric compar- the idea of drinking turn you off right now? (aversion now) (3) If you were not at the ison tests for a crossover design (Hills and Armitage, 1979).1 Unlike cue reactivity hospital but rather in a situation where you habitually drank in the past, how much measures, heart rate, systolic, and diastolic blood pressure were analyzed using would you want a drink right now? (craving imaginary) (4) If you were not at the a repeated measures ANOVA since these data were assumed to be normally hospital but rather in a situation where you habitually drank in the past, how much would the idea of drinking turn you off right now? (aversion imaginary) (5) Are you Secondary analyses consisted of correlations between cue reactivity measures, nauseated now? (nausea).
alcohol dependence scores, and affect and were analyzed using Spearman's rank After completing the above questionnaire, the participant ﬁlled out the PANAS order tests. These analyses were stratiﬁed according to threat and neutral condi- (Positive and Negative Affect Scale) (Watson et al., 1988), an evaluation of affect tions and adjusted for the period using a partial correlation coefﬁcient. Data were from the moment the beverage was poured into the glass.
described as means (SD) if the distribution was normal or by median (range) if not Primary outcome measures were the change scores of cue reactivity during normal. According to the deﬁnition of Baron and Kenny (1986), a moderator analysis alcohol and water exposures between the threat and neutral conditions.
was performed testing the interaction effect between the moderator (PANAS) and 2.4. Statistical analyses 2.4.1. Calculation of the sample size. The main analysis consisted of calculating inter- 1 Additional materials are available with the online version of this article at action exposure by condition effects on subjective cue reactivity (craving now).
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M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 niﬁcant condition by alcohol interaction for craving now, craving Demographics, drinking history, and alcohol dependence score (ADS).
imaginary (see Table 2 and Fig. 3), or the PANAS.
3.4. Secondary analyses Age, mean (SD), years A period effect on cue reactivity was found for the scales crav- ing now, (p = 0.039), craving imaginary (p = 0.048), diastolic blood pressure (p = 0.002), and systolic blood pressure (p = 0.007). All Married or cohabiting, no. (%) decreased during the second exposure compared to the ﬁrst. There Unemployed, no. (%) was no condition by alcohol interaction for the scale nausea. There High school or greater, no. (%) was no correlation between subjective and physiological measures.
Drinking historyAbstinence days over the past 6 months, median (range) Regarding the relationship between desire (craving now) and aver- Average weekly consumption g, median (range) sion (aversion now), in both the neutral and threat conditions, there ADS, median (range) was a signiﬁcant and inverse correlation (Spearman's = −0.42,p = 0.02 and Spearman's = −0.39, p = 0.03, respectively). Alcoholdependence scores were not related to threat minus neutral change the conditions (threat or neutral and water or alcohol) on cue reactivity measures in scores (alcohol minus water scores) of the subjective measures a mixed linear model. All statistical tests were two-tailed at a 5% signiﬁcance level.
The analyses were performed using SAS/STAT software, Version 8.2 (SAS Institute, for craving now, aversion now, and craving imaginary, nor for the physiological measures. Dependence was, however, related to aver-sion imaginary, (Spearman's = 0.43, p = 0.02). This result indicated 3. Results
that the more severely dependent participants were less turned offby drinking alcohol in an imaginary situation. Further exploration 3.1. Sample description showed that this correlation occurred during the neutral condition(Spearman's = −0.46, p = 0.01). When the threat was present, the Of entering patients screened between November 2006 and participants reacted the same way regardless of the level of depen- September 2008 (n = 538), 38 were selected based on inclusion dence. PANAS negative affect increased during the alcohol exposure criteria, provided consent, and were randomized to the order of (p = 0.028) in both neutral and threat conditions (see Fig. 4).
threat and neutral conditions. Of these, 33 were analyzed. Demo-graphic and clinical characteristics are presented in Table 1. Five 3.5. Moderator analysis participants were excluded. The exclusions occurred regardless ofthe randomisation order (see Fig. 2). Two patients did not partic- Because PANAS negative affect was correlated with alcohol ipate in the second beverage trial. After the ﬁrst beverage trial, exposure, we tested the hypothesis that negative affect moderated one consumed alcohol and the other ingested acamprosate. We the effect of a threat on alcohol cue reactivity (craving now). Inclu- obtained and analyzed data only from the ﬁrst exposure for these sion of PANAS negative affect as a covariate in the condition by two patients, bringing the total of completed studies to 31.
alcohol interaction model reduced the model's p-value from 0.41(NS) to 0.1. The relationship between negative affect and craving 3.2. Effect of alcohol on cue reactivity was stronger during the threat condition or during alcohol expo-sure (in threat and neutral conditions) than during water exposure The alcohol cue signiﬁcantly increased the scales craving now.
in the neutral condition, which resulted in a signiﬁcant triple inter- (p < 0.0001), craving imaginary (p = 0.0027) and PANAS negative action effect (PANAS negative affect by cue exposure by condition; affect scores (p = 0.028). It had no effect on the other variables.
F = 6.08, p = 0.0034) on craving now (see Fig. 4).
We also tested the hypothesis that PANAS negative affect mod- 3.3. Effect of the threat condition on cue reactivity erated the effect of a threat on diastolic blood pressure. The linearmixed model showed that diastolic blood pressure in response to There was a signiﬁcant condition by alcohol interaction on dias- cue exposure or threat was modulated by PANAS negative affect tolic blood pressure (p = 0.044) such that it decreased in response to (triple interaction negative affect by cue exposure by condition; the alcohol cue in the threat condition and remained the same in the F = 11.94, p < 0.0001) (see Fig. 4).
neutral condition. The interaction term showed a trend (p = 0.071) Because there was no effect of alcohol dependence (ADS) on for systolic blood pressure. No condition by alcohol interaction craving now, craving imaginary, and the physiological variables, its occurred for the other measures, speciﬁcally, there was no sig- moderator effect was not tested.
Cue exposure responses in the neutral and threat conditions.
Neutral then threat message Threat then neutral message −0.5 (−46 to 48) −2 (−73 to 56) Craving imaginaryb 10.5 (−20 to 84) Aversion imaginaryb Heart rate (beats/min)c Diastolic blood pressure (mm Hg)c Systolic blood pressure (mm Hg)c a Change scores consist of the difference between the alcohol exposure score and the water exposure score.
b Numbers are medians and (range).
c Numbers are means and (SD).
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M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 Fig. 2. Flow chart of participant recruitment and retention.
were the most consistent and valid measures of cue reactivity(Rohsenow et al., 1990; Monti et al., 1999). This could be because The primary purpose of this study was to determine whether physiological measures are less likely to be under volitional con- there was a difference in cue reactivity responses during a threat trol (Reid et al., 2006) and are not dependent upon self-report.
condition compared to a neutral condition during alcohol cue expo- In addition, several studies have shown that a physiological mea- sure. First we established that our participants responded with sure (salivation) predicted more drinking at follow up compared increased desire to the alcohol cue. This was accompanied by an to urge (Rohsenow et al., 1989, 1994). Few studies evaluated blood increase in negative affect. Then we tested the effect of the threat pressure, however, compared to heart rate, salivation and temper- of a disulﬁram–ethanol reaction condition compared to a neutral ature (Niaura et al., 1988). In one study, blood pressure decreased in condition on cue reactivity. To summarize our ﬁndings, no effect of response to cues interpreted as an orienting, attentional response a threat was found on craving. Regarding autonomic nervous sys- to alcohol cues (Monti et al., 1999). It is possible that the decrease in tem measures, we observed a decrease in diastolic blood pressure blood pressure in the present study was associated with increased during the threat compared to the neutral condition. Systolic blood attention during the threat condition as the threat was repeated pressure showed a trend, while heart rate remained unchanged.
just before the alcohol cue exposure, drawing the participant's Inclusion of negative affect in the model strengthened the rela- attention to the consequences of a possible consumption. Future tionship between alcohol cue exposure and craving for alcohol and studies speciﬁcally evaluating attention would be necessary to con- decreased the diastolic blood pressure in response to cue exposure ﬁrm this. A blood pressure decrease, which signiﬁes a decrease in in the threat condition. The threat of an aversive reaction during sympathetic cardiovascular arousal (Critchley, 2005), could also alcohol exposure was not associated with an increase in negative arise from a reduced need for cognitive effort and any accompa- affect, probably because temptation and risk were reduced, which nying anxiety because the participants had less difﬁculty resisting is reﬂected in the decrease in blood pressure.
temptation because of the support of believing they had ingested Petrakis et al. (2005) have shown that alcohol dependent outpa- tients treated with disulﬁram had fewer anxiety related symptoms Regarding secondary hypotheses, as we expected, subjective compared to those treated with naltrexone or placebo. In addition, and physiological responses varied independently. A similar dis- it is probable that taking disulﬁram facilitated a sense of control to sociation was found by other investigators (Ooteman et al., 2006; abstain from alcohol as suggested by an efﬁcacy study of disulﬁram Carter and Tiffany, 1999; Niaura et al., 1988). Salivation was not and acamprosate (Besson et al., 1998).
associated with urge (Cooney et al., 1984; Rohsenow et al., 1990; Some authors who have measured both subjective and physio- Monti et al., 1993b). The dissociation is not surprising if we con- logical measures have suggested that heart rate and blood pressure sider physiological processes to be multidetermined. Physiological
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M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 Fig. 3. Variations of craving now (median), craving imaginary (median), diastolic blood pressure (mean), and systolic blood pressure (mean) by threat vs. neutral conditions
when exposed to water or alcohol. Continuous lines with square points represent the threat condition. Dotted lines with triangular points represent the neutral condition.
Fig. 4. Relationships between negative affect (PANAS), craving now, and diastolic blood pressure by exposure and threat vs. neutral conditions. Lines represent linear
regressions. Squares and continuous lines represent the threat condition. Triangles and dotted lines represent the neutral condition.
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M.D. Skinner et al. / Drug and Alcohol Dependence 112 (2010) 239–246 processes are probably engaged in many functions unrelated to the Further research is necessary to understand the relationship cue manipulation (Rohsenow et al., 1990; Carter and Tiffany, 1999).
between disulﬁram and the physiological as well as the psycho- Patients were found unaware of their urges while salivating (Monti logical responses to cues. Many questions remain unanswered et al., 1993b; Rohsenow and Monti, 1999) and unaware of their regarding the effect of a potential disulﬁram–ethanol reaction on physiological reactions during cue exposure (Ooteman et al., 2006), decision-making, self-control, self-efﬁcacy, commitment, atten- indicating that a substantial number of alcohol dependent patients tion, affect, and cognitive dissonance.
are unable to detect bodily sensations of craving. These ﬁndings do In summary, physiological measures continue to be of value not support conditioning models in which the physiological mea- precisely because they lie outside of conscious control, are salient, sures as well as the subjective measures should correlate (Ludwig and replicable. The effect of the threat condition on diastolic blood and Wikler, 1974; Baker et al., 1986).
pressure may reﬂect a psychophysiological mechanism involving Contrary to our hypothesis, subjective craving and aversion reductions in negative affect and increases in a sense of control, were negatively correlated. As described in the multidimensional attention, and commitment. Patients treated with disulﬁram, if ambivalence model (Breiner et al., 1999), craving and aversion were they want to avoid a disulﬁram–ethanol reaction, need to remind thought to be two independent dimensions. Support for their inde- themselves of the potential negative consequences that could arise pendence has been shown (Avants et al., 1995; Breiner et al., 1997), if they consume. The effort involved in being vigilant, despite crav- but has yet to be validated among alcoholics. Because our partici- ing, may divert them from their inclination to approach alcohol and pants conﬁrmed that they were committed to a goal of abstinence, decrease negative affect. This could explain why disulﬁram signiﬁ- they may have been less ambivalent, at least while hospitalized, cantly reduces the number of drinking days with many patients. In thus accounting for the correlation.
addition, it provides evidence to reframe disulﬁram's image from High levels of dependence have been shown to be associated punitive to beneﬁcial because of the relief it could provide from with greater craving (Kaplan et al., 1985; Rohsenow et al., 1992; the effortful, internal conﬂict inherent in deciding whether or not to Monti et al., 1993b; Rohsenow and Monti, 1999; Drummond and drink. This could help reverse the problem of treatment compliance, Phillips, 2002). Our participants did not report a difference in crav- the principle obstacle to the success of disulﬁram.
ing according to the severity of dependence perhaps because ofsocial desirability bias. On the other hand, more severely dependent Role of funding source
patients were not turned off by the idea of alcohol in an imaginarysituation as long as there was no threat. In the threat condition, This study was supported by a grant from the Department of however, they reacted in the same way as the less dependent.
Clinical Research and Development, Assistance Publique-Hôpitaux Disulﬁram treatment might thus be targeted to the most severely de Paris (CIRC 05131), who provided clinical research assistance, dependent patients to increase the aversion. There was no rela- assistance with the statistical analyses, administrative support, tionship between dependence and the physiological cue reactivity methodological support, and placebo handling, but had no further role in the writing of the report or in the decision to submit the Several studies have shown negative affect to be associated paper for publication. Funding was also provided by the Institut de with craving although not speciﬁcally measured by the PANAS Recherches Scientiﬁques sur les Boissons (IREB-Institute of Scien- (McCusker and Brown, 1991; Rohsenow et al., 1992; Baker et al., tiﬁc Research on Drinks), who had no further role in the collection, 2004; Fox et al., 2007). This study was no exception. In the threat analysis, and interpretation of the data; in the writing of the report; condition or during alcohol exposure (in threat or neutral condi- or in the decision to submit the paper for publication.
tions), the relationship between negative affect and craving nowwas stronger than in the neutral condition during water exposure, indicating that negative affect modulated subjective craving.
Physiologically, as expected, participants with higher negative Authors Skinner, Aubin, and Berlin designed the study and Skin- affect also had higher blood pressure. An interaction was found ner and Aubin wrote the protocol. Author Skinner managed the between diastolic blood pressure, threat, exposure, and negative literature searches, summaries of previous related work, and wrote affect. The linear relationship between negative affect and diastolic the ﬁrst draft of the manuscript. Authors Coudert and Berlin under- blood pressure was stronger in all of the conditions and exposures took the statistical analyses. Author Passeri assisted in the data except during the alcohol exposure in the threat condition. Even collection and methodology of the protocol. Author Michel pro- though negative affect prevailed for those participants who thought vided clinical research assistance. All authors contributed to and they had taken disulﬁram, blood pressure was not affected. Perhaps have approved the ﬁnal manuscript.
those participants were less perturbed and had a stronger sense ofcontrol over alcohol intake than in the neutral condition where they Conﬂict of interest
were less stable.
The present study has several limitations that need to be taken Dr. Berlin is an employee of Université P. and M. Curie and Assis- into consideration. One limit is that physiological cue reactivity is tance Publique-Hôpitaux de Paris and reported having received commonly viewed as multidetermined, that is, it could be activated consulting fees from Pﬁzer Ltd. and Sanoﬁ-Aventis. Dr. Aubin by a number of different factors such as appetitive or aversive reac- has received sponsorship to attend scientiﬁc meetings, speaker tions (Glautier, 1999). Misinterpretation is possible, although it is honorariums, and consultancy fees from Pﬁzer, McNeil, Glaxo- reduced when the research questions are speciﬁc and the context SmithKline, Pierre-Fabre Sante, Sanoﬁ-Aventis, and Merck-Lipha.
well deﬁned as in the present study. We might have included more All other authors declare that they have no conﬂicts of interest.
various types of physiological measures that are less difﬁcult tointerpret than blood pressure such as skin conductance and sali- vation. Finally, there is the possibility of social desirability bias byour participants in order to convince the researchers or themselves We thank Damaris Rohsenow, PhD for providing method- of their capacity to cope with a craving. They were also enrolled ological expertise, Arnaud Keslick for clinical research assistance, in group cognitive behavioral therapy for relapse prevention dur- Myriem Carrier, MD and Julie Tequi-Lebras for administrative sup- ing part of the study which may have altered their responses to port, Alain Mallet, MD, PhD for methodological support, and Annick Tibi for placebo handling.
Author's personal copy
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AIOS, CME SERIES (No. 23) Age Related Macular B. L. Sujata Rathod P. Manohar ALL INDIA OPHTHALMOLOGICAL SOCIETY This CME Material has been supported by the funds of the AIOS, but the views expressed therein do not reflect the official opinion of the AIOS. (As part of the AIOS CME Programme)